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How Millie Dresselhaus paid it forward

Institute Professor Mildred “Millie” Dresselhaus forever altered our understanding of matter—the physical stuff of the universe that has mass and takes up space. Over 57 years at MIT, Dresselhaus also played a significant role in inspiring people to use this new knowledge to tackle some of the world’s greatest challenges, from producing clean energy to curing cancer. Although she became an emerita professor in 2007, Dresselhaus, who taught electrical engineering and physics, remained actively involved in research and all other aspects of MIT life until her death in 2017. She would have been 95 this November. Known as the “Queen of Carbon,” Dresselhaus was most often heralded for her pioneering work with one of nature’s most abundant and versatile substances. As a result of her insatiable curiosity about our world and her nearly six-decade career as a scientific explorer, we can thank her for significant leaps in how we think about carbon’s various forms and the company it keeps. In her early career, Dresselhaus employed a then-new invention—laser light—to probe carbon’s inner workings. She worked to distinguish how, for example, flat sheets of carbon atoms act differently from carbon crystals of three dimensions, especially in the presence of heat, electrons, or a magnetic field. And later she predicted the existence of what we now call carbon nanotubes, sheets of carbon atoms rolled up into minuscule cylinders that can be remarkably adept at conducting electricity.  Building on Dresselhaus’s far-reaching foundational research, scientists and engineers have made enormous advances at the nanoscale—with structures on the order of one hundred-thousandth the width of a human hair. Spherical carbon “buckyballs,” cylindrical carbon nanotubes, and two-dimensional carbon sheets known as graphene have already been used for energy storage, medical research, building materials, and paper-thin electronics, among many other applications. Today, these carbon structures continue to be developed for myriad novel uses that often seem taken from the realm of science fiction, including ultrafast quantum computers, efficient desalination devices, and quantum dots with applications in biosensing and drug delivery. For her work she won—among other honors—the Kavli Prize in Nanoscience, the National Medal of Science, and the Presidential Medal of Freedom, the highest civilian award given by the United States government. But her journey to MIT, and to global leadership in solid-state physics, was an improbable one. Born in Brooklyn, New York, to immigrant parents in 1930, Dresselhaus came of age at a time when women were rarely welcomed as scientists or encouraged to pursue technical fields. Yet she benefited from several key mentors who saw her potential and took deliberate steps to support a brilliant young mind.  President Barack Obama presented Dresselhaus with the Presidential Medal of Freedom in 2014.OLIVIER DOULIERY/ABACAPRESS.COM VIA ALAMY One of those mentors was Enrico Fermi, the distinguished Italian-born nuclear scientist who played a leading role in the Manhattan Project and who concluded his career as a professor of physics at the University of Chicago. Fermi came to America after receiving a solo Nobel Prize in 1938 (for work on induced radioactivity) and then fleeing the Nazi regime with his Jewish wife, Laura. The story of how Fermi influenced an up-and-coming Millie Dresselhaus—and, by proxy, scores of students who would study under her—reveals how paying it forward to the next generation of scientists and engineers can yield lasting dividends.  In 1953, with the nuclear age firmly underway and the Cold War heating up, Dresselhaus found herself, at 22, one of the new graduate students within the University of Chicago’s world-class physics department. Although a number of researchers who had worked on the Manhattan Project there had by then left for other opportunities, many luminaries remained. In addition to the renowned Enrico Fermi, notable faculty included the Nobel laureates Harold Urey and Maria Goeppert Mayer (with whom Dresselhaus lived for about a year as a boarder) as well as the physicist Leona Woods, the only woman present during the famous 1942 fission demonstration on one of the school’s squash courts. The university’s physics program was fairly small in those days: Dresselhaus had earned a spot as one of just about a dozen new graduate students that year. She was also, it turns out, the only female student in the department. Despite a master’s degree in physics from Radcliffe College and a Fulbright fellowship at the University of Cambridge, she felt not quite prepared as she began her PhD. And so, at the start of her doctoral studies, she discovered a cache of old examinations, and she worked the problems therein forward and back until she felt up to speed. Despite this added practice, the coursework for first-year PhD candidates was brutal—so brutal that around three-quarters of all entering physics students eventually dropped out of the program. But Dresselhaus’s relationship with Fermi would provide an unexpected boost. She first encountered the unflappable scientist—who made crucial strides not only in the development of the atomic bomb but in particle physics after the war—as a student in his class on quantum mechanics. And through that class, Dresselhaus got to know his teaching style, which she recalled as patient, inspiring, and mind-opening. With a slow, deliberate, accented voice that Dresselhaus described as “halting,” Fermi expertly distilled complicated topics so that anyone in attendance could comprehend them. Brilliant at both theory and experimentation, he delighted in stripping concepts to their essence, and unlike more impatient professors who were absorbed in their own work, Fermi cherished the opportunity to review whatever he knew about a physical concept by explaining it to someone else. For this he clearly had a talent; thanks to the way he presented the finer details of quantum mechanics, Dresselhaus explained, “any youngster could think, when they heard the lecture, that they understood every word.” One key to the eminent scientist’s clarity was the ban he placed on taking notes. Fermi demanded full attention, so he would prepare and dole out handwritten notes before his lectures, lest students be tempted to take out their pens or slide rules. “What was so impressive and amazing about it is that the lectures were very exciting, whatever the subject was,” Dresselhaus said in a 2001 interview. Nuclear scientist Enrico Fermi, shown here circa 1942, was a key early mentor to Dresselhaus at the University of Chicago.HULTON ARCHIVE/GETTY IMAGES And then there was the homework, which was always tricky, but delightfully enlightening once you figured it out. At the end of every class, Fermi floated a seemingly simple problem to be solved as an exercise prior to the following lecture. These included questions like: Why is the sky blue? Why do the sun and stars emit spectra of light? And, famously, how many piano tuners are there in Chicago? “You thought it was simple until you got home,” Dresselhaus said in 2012, upon receiving the Enrico Fermi Award, a lifetime achievement award given by the US Department of Energy. These types of questions became known, collectively, as “Fermi problems” and are taught today in schools around the world, from kindergarten all the way to graduate-level courses, as examples of how to estimate and triangulate in search of an answer, even when you don’t know all the relevant—and seemingly necessary—parameters. Back when Dresselhaus was learning about such problems, all she knew was they were due by the next class, no more than a day or two away, and they took a significant effort. “I think we learned a great deal from him in the formulation of problems of physics, how to think about physics, how to solve problems, and how to generate your own problems,” she said. Indeed, throughout her career, Dresselhaus credited Fermi with teaching her how to “think as a physicist.” A key concept behind the Fermi system, she often stated, was the idea of single-authorship research: Grad students were expected to conceive of, carry out, and publish their thesis work more or less on their own, without the guiding hand of a more senior faculty member. This required them to work with others to develop a broad understanding of physics that they could then apply to a research topic they’d generate themselves.  Fermi’s connection with students didn’t end in the classroom. He was well known for frequent interactions with young people, and for being the rare senior faculty member who regularly integrated students into his personal life. “It was not beneath him to associate freely with students and to treat them as equals,” said Jay Orear, a career physicist and graduate student of Fermi’s, in a book of remembrances about his advisor. “In fact, I think he enjoyed young physics students more than some of his older colleagues.” For Dresselhaus, this integration began, quite literally, on her way to school. She and Fermi lived in the same general vicinity, and both were early risers who walked down Ellis Avenue on their way to the lab each day. “I had him for class first thing in the morning. And on my way, walking to school, I would see him. And he would cross the street and walk with me,” Dresselhaus recalled in a 2007 oral history interview. “That’s just being very friendly, and that made a long-term impression on me.” Dresselhaus shown in conversation early during her tenure at MIT. She would spend 50 years as a member of the faculty.MARGO FOOTE/MIT MUSEUM Whenever they met, Fermi would always select the subject of discussion and would never fail to energize and inspire her. “I was a very shy youngster and wouldn’t think of suggesting the topic to Enrico Fermi,” she told MIT Alumni News in 2013. “He would always ask questions about ‘What if this and this and this were true? What if we could make this—would it be interesting, and what could we learn?’” Fermi and his wife, Laura, were well known for hosting monthly dinners at their house, with dancing afterward—and his students were always invited. “Fermi especially liked young people,” noted Harold Agnew, a longtime physicist and one of his graduate students, in a remembrance published after Fermi’s death. “The top floor of his Chicago house had a large room in which he would invite students to come and square-dance.” “I remember those dinners,” Dresselhaus said in 2012. “Laura Fermi was a very, very good Italian cook.” But more than the cooking, she said, “it was the ambiance and the friendliness in that household that really made us enjoy physics—it was something more.” That “something more” would inspire Dresselhaus later in her career to provide her own students at MIT with a familial atmosphere in the lab, at group luncheons, and at events in her home, where lines between student and professor were blurred a bit and kindred spirits enjoyed one another’s company. Dresselhaus’s acquaintance with Fermi would last only a year. He had developed an incurable stomach cancer, possibly a result of exposure to radiation from his earlier work, and died on November 28, 1954. But he left a fantastic impression that influenced her for the rest of her days, instilling in her a commitment to public service and guiding how she trained her own students. “The most important thing that young people need is the confidence that they can succeed. That’s what I work on.” “Fermi had the most profound influence on physics teaching in the United States, and our graduate programs … are much fashioned from his way of teaching,” Dresselhaus said in 2001. She later added, “From him, I learned that we don’t have to be leaders in every field, but we can use our understanding to see connections that others might miss.” The broad physical and scientific knowledge that Dresselhaus developed as a result of Fermi’s system for teaching graduate students helped her in numerous ways throughout her career. It proved useful on several occasions when she had to make significant course corrections, with very little background in the areas into which she pivoted. And she relied on it as a leader of national programs with diverse constituents.  But perhaps the grandest lesson that Dresselhaus gained from her mentor was an understanding of what it takes to be a great teacher and advocate. “The most important thing that young people need is the confidence that they can succeed,” she explained in 2012. “That’s what I work on. When I have students, I make sure they are able to formulate and solve their own problems. I will help them, if they come in and talk with me. And I make sure they receive training for their next job.” By all accounts, she more than succeeded in that effort. At MIT, she became a beloved professor who both pushed her students to be their very best and provided support in ways big and small to ensure high achievement—helping students network for career opportunities, hosting any student who didn’t have a place to go for Thanksgiving dinner, teaching an entire recitation section for an engineering student who showed great promise but needed help getting up to speed in solid-state physics. She said, “I always felt Fermi and Rosalyn [Yalow, her undergraduate mentor at Hunter College] were interested in my career, and I try to show the same concern for my students.” In the eight years since Dresselhaus’s death, new advances from her colleagues have borne the signature of her research—and have begun branching out in ever more fascinating directions. Graphene, for example, remains one of the hottest topics in science. Back in the early and mid-2010s, Dresselhaus worked on what she and others called “misoriented graphene.” She and others predicted that by twisting sheets of graphene so that their honeycomb patterns are slightly misaligned when superimposed, researchers could introduce “interesting patterns” that might lead to useful properties. In 2018, Dresselhaus’s MIT colleague Pablo Jarillo-Herrero realized this idea: He and others discovered that if two graphene sheets are combined into a superlattice, aligned at a “magic angle” of 1.1 degrees, the system can become either superconducting or insulating. The development was hailed as a major discovery and marked a jumping-off point for a subfield now known as ­“twistronics.” Physics World named it Breakthrough of the Year. Dresselhaus hypothesized that misaligning sheets of graphene could produce novel properties. In 2018, her MIT colleague Pablo Jarillo- Herrero demonstrated that such an arrangement can become either a superconductor or an insulator.COURTESY OF THE RESEARCHERS Also in 2018, MIT opened its doors to a gleaming new nanoscience and nanotechnology research facility at the heart of campus. The $400 million MIT.nano project was a long time in coming; although Dresselhaus missed out on the grand opening, she was very much looking forward to its completion, and to the start of a new generation of nanoscale endeavors at the Institute that would seek to expand humanity’s understanding of physics, chemistry, materials science, energy, biology, and more. In her final years, Dresselhaus had looked to MIT.nano as an extension of her legacy.  In late 2019, the courtyard between the Institute’s Infinite Corridor and the southern façade of the MIT.nano building was dedicated in her memory. Dubbed the Improbability Walk, the space is a nod to Dresselhaus’s unlikely rise to international prominence from her humble beginnings in Depression-era New York. It also encourages those who might serve as mentors to take time to get to know younger colleagues and students, as Enrico Fermi did with Dresselhaus and Dresselhaus did with so many at MIT. For as improbable as it might seem, an encouraging word from a mentor can immeasurably enhance a young scientist’s life path.  Like Fermi before her, Dresselhaus was deeply committed to giving back—to students, to her research community, to society at large. Throughout her 86-plus years, she gave of her time, her intellect, her energy, her love, and her enthusiasm. In one of her final interviews, the Queen of Carbon issued a ringing invitation. “We need new science and we need new ideas, and there’s plenty of room for young people to come in and have careers discovering those new ideas,” she declared. “Life is very interesting in this lane. Come and join me!”  Adapted from Carbon Queen: The Remarkable Life of Nanoscience Pioneer Mildred Dresselhaus, by Maia Weinstock (MIT Press). Copyright 2022. Reprinted with permission.

Institute Professor Mildred “Millie” Dresselhaus forever altered our understanding of matter—the physical stuff of the universe that has mass and takes up space. Over 57 years at MIT, Dresselhaus also played a significant role in inspiring people to use this new knowledge to tackle some of the world’s greatest challenges, from producing clean energy to curing cancer. Although she became an emerita professor in 2007, Dresselhaus, who taught electrical engineering and physics, remained actively involved in research and all other aspects of MIT life until her death in 2017. She would have been 95 this November.

Known as the “Queen of Carbon,” Dresselhaus was most often heralded for her pioneering work with one of nature’s most abundant and versatile substances. As a result of her insatiable curiosity about our world and her nearly six-decade career as a scientific explorer, we can thank her for significant leaps in how we think about carbon’s various forms and the company it keeps. In her early career, Dresselhaus employed a then-new invention—laser light—to probe carbon’s inner workings. She worked to distinguish how, for example, flat sheets of carbon atoms act differently from carbon crystals of three dimensions, especially in the presence of heat, electrons, or a magnetic field. And later she predicted the existence of what we now call carbon nanotubes, sheets of carbon atoms rolled up into minuscule cylinders that can be remarkably adept at conducting electricity. 

Building on Dresselhaus’s far-reaching foundational research, scientists and engineers have made enormous advances at the nanoscale—with structures on the order of one hundred-thousandth the width of a human hair. Spherical carbon “buckyballs,” cylindrical carbon nanotubes, and two-dimensional carbon sheets known as graphene have already been used for energy storage, medical research, building materials, and paper-thin electronics, among many other applications. Today, these carbon structures continue to be developed for myriad novel uses that often seem taken from the realm of science fiction, including ultrafast quantum computers, efficient desalination devices, and quantum dots with applications in biosensing and drug delivery. For her work she won—among other honors—the Kavli Prize in Nanoscience, the National Medal of Science, and the Presidential Medal of Freedom, the highest civilian award given by the United States government.

But her journey to MIT, and to global leadership in solid-state physics, was an improbable one. Born in Brooklyn, New York, to immigrant parents in 1930, Dresselhaus came of age at a time when women were rarely welcomed as scientists or encouraged to pursue technical fields. Yet she benefited from several key mentors who saw her potential and took deliberate steps to support a brilliant young mind. 

President Barack Obama presented Dresselhaus with the Presidential Medal of Freedom in 2014.
OLIVIER DOULIERY/ABACAPRESS.COM VIA ALAMY

One of those mentors was Enrico Fermi, the distinguished Italian-born nuclear scientist who played a leading role in the Manhattan Project and who concluded his career as a professor of physics at the University of Chicago. Fermi came to America after receiving a solo Nobel Prize in 1938 (for work on induced radioactivity) and then fleeing the Nazi regime with his Jewish wife, Laura. The story of how Fermi influenced an up-and-coming Millie Dresselhaus—and, by proxy, scores of students who would study under her—reveals how paying it forward to the next generation of scientists and engineers can yield lasting dividends. 


In 1953, with the nuclear age firmly underway and the Cold War heating up, Dresselhaus found herself, at 22, one of the new graduate students within the University of Chicago’s world-class physics department. Although a number of researchers who had worked on the Manhattan Project there had by then left for other opportunities, many luminaries remained. In addition to the renowned Enrico Fermi, notable faculty included the Nobel laureates Harold Urey and Maria Goeppert Mayer (with whom Dresselhaus lived for about a year as a boarder) as well as the physicist Leona Woods, the only woman present during the famous 1942 fission demonstration on one of the school’s squash courts.

The university’s physics program was fairly small in those days: Dresselhaus had earned a spot as one of just about a dozen new graduate students that year. She was also, it turns out, the only female student in the department. Despite a master’s degree in physics from Radcliffe College and a Fulbright fellowship at the University of Cambridge, she felt not quite prepared as she began her PhD. And so, at the start of her doctoral studies, she discovered a cache of old examinations, and she worked the problems therein forward and back until she felt up to speed.

Despite this added practice, the coursework for first-year PhD candidates was brutal—so brutal that around three-quarters of all entering physics students eventually dropped out of the program. But Dresselhaus’s relationship with Fermi would provide an unexpected boost.

She first encountered the unflappable scientist—who made crucial strides not only in the development of the atomic bomb but in particle physics after the war—as a student in his class on quantum mechanics. And through that class, Dresselhaus got to know his teaching style, which she recalled as patient, inspiring, and mind-opening. With a slow, deliberate, accented voice that Dresselhaus described as “halting,” Fermi expertly distilled complicated topics so that anyone in attendance could comprehend them. Brilliant at both theory and experimentation, he delighted in stripping concepts to their essence, and unlike more impatient professors who were absorbed in their own work, Fermi cherished the opportunity to review whatever he knew about a physical concept by explaining it to someone else. For this he clearly had a talent; thanks to the way he presented the finer details of quantum mechanics, Dresselhaus explained, “any youngster could think, when they heard the lecture, that they understood every word.”

One key to the eminent scientist’s clarity was the ban he placed on taking notes. Fermi demanded full attention, so he would prepare and dole out handwritten notes before his lectures, lest students be tempted to take out their pens or slide rules. “What was so impressive and amazing about it is that the lectures were very exciting, whatever the subject was,” Dresselhaus said in a 2001 interview.

Nuclear scientist Enrico Fermi, shown here circa 1942, was a key early mentor to Dresselhaus at the University of Chicago.
HULTON ARCHIVE/GETTY IMAGES

And then there was the homework, which was always tricky, but delightfully enlightening once you figured it out. At the end of every class, Fermi floated a seemingly simple problem to be solved as an exercise prior to the following lecture. These included questions like: Why is the sky blue? Why do the sun and stars emit spectra of light? And, famously, how many piano tuners are there in Chicago? “You thought it was simple until you got home,” Dresselhaus said in 2012, upon receiving the Enrico Fermi Award, a lifetime achievement award given by the US Department of Energy. These types of questions became known, collectively, as “Fermi problems” and are taught today in schools around the world, from kindergarten all the way to graduate-level courses, as examples of how to estimate and triangulate in search of an answer, even when you don’t know all the relevant—and seemingly necessary—parameters. Back when Dresselhaus was learning about such problems, all she knew was they were due by the next class, no more than a day or two away, and they took a significant effort. “I think we learned a great deal from him in the formulation of problems of physics, how to think about physics, how to solve problems, and how to generate your own problems,” she said.

Indeed, throughout her career, Dresselhaus credited Fermi with teaching her how to “think as a physicist.” A key concept behind the Fermi system, she often stated, was the idea of single-authorship research: Grad students were expected to conceive of, carry out, and publish their thesis work more or less on their own, without the guiding hand of a more senior faculty member. This required them to work with others to develop a broad understanding of physics that they could then apply to a research topic they’d generate themselves. 

Fermi’s connection with students didn’t end in the classroom. He was well known for frequent interactions with young people, and for being the rare senior faculty member who regularly integrated students into his personal life. “It was not beneath him to associate freely with students and to treat them as equals,” said Jay Orear, a career physicist and graduate student of Fermi’s, in a book of remembrances about his advisor. “In fact, I think he enjoyed young physics students more than some of his older colleagues.”

For Dresselhaus, this integration began, quite literally, on her way to school. She and Fermi lived in the same general vicinity, and both were early risers who walked down Ellis Avenue on their way to the lab each day. “I had him for class first thing in the morning. And on my way, walking to school, I would see him. And he would cross the street and walk with me,” Dresselhaus recalled in a 2007 oral history interview. “That’s just being very friendly, and that made a long-term impression on me.”

Dresselhaus shown in conversation early during her tenure at MIT. She would spend 50 years as a member of the faculty.
MARGO FOOTE/MIT MUSEUM

Whenever they met, Fermi would always select the subject of discussion and would never fail to energize and inspire her. “I was a very shy youngster and wouldn’t think of suggesting the topic to Enrico Fermi,” she told MIT Alumni News in 2013. “He would always ask questions about ‘What if this and this and this were true? What if we could make this—would it be interesting, and what could we learn?’”

Fermi and his wife, Laura, were well known for hosting monthly dinners at their house, with dancing afterward—and his students were always invited. “Fermi especially liked young people,” noted Harold Agnew, a longtime physicist and one of his graduate students, in a remembrance published after Fermi’s death. “The top floor of his Chicago house had a large room in which he would invite students to come and square-dance.”

“I remember those dinners,” Dresselhaus said in 2012. “Laura Fermi was a very, very good Italian cook.” But more than the cooking, she said, “it was the ambiance and the friendliness in that household that really made us enjoy physics—it was something more.” That “something more” would inspire Dresselhaus later in her career to provide her own students at MIT with a familial atmosphere in the lab, at group luncheons, and at events in her home, where lines between student and professor were blurred a bit and kindred spirits enjoyed one another’s company.

Dresselhaus’s acquaintance with Fermi would last only a year. He had developed an incurable stomach cancer, possibly a result of exposure to radiation from his earlier work, and died on November 28, 1954. But he left a fantastic impression that influenced her for the rest of her days, instilling in her a commitment to public service and guiding how she trained her own students.

“The most important thing that young people need is the confidence that they can succeed. That’s what I work on.”

“Fermi had the most profound influence on physics teaching in the United States, and our graduate programs … are much fashioned from his way of teaching,” Dresselhaus said in 2001. She later added, “From him, I learned that we don’t have to be leaders in every field, but we can use our understanding to see connections that others might miss.”

The broad physical and scientific knowledge that Dresselhaus developed as a result of Fermi’s system for teaching graduate students helped her in numerous ways throughout her career. It proved useful on several occasions when she had to make significant course corrections, with very little background in the areas into which she pivoted. And she relied on it as a leader of national programs with diverse constituents. 

But perhaps the grandest lesson that Dresselhaus gained from her mentor was an understanding of what it takes to be a great teacher and advocate. “The most important thing that young people need is the confidence that they can succeed,” she explained in 2012. “That’s what I work on. When I have students, I make sure they are able to formulate and solve their own problems. I will help them, if they come in and talk with me. And I make sure they receive training for their next job.”

By all accounts, she more than succeeded in that effort. At MIT, she became a beloved professor who both pushed her students to be their very best and provided support in ways big and small to ensure high achievement—helping students network for career opportunities, hosting any student who didn’t have a place to go for Thanksgiving dinner, teaching an entire recitation section for an engineering student who showed great promise but needed help getting up to speed in solid-state physics. She said, “I always felt Fermi and Rosalyn [Yalow, her undergraduate mentor at Hunter College] were interested in my career, and I try to show the same concern for my students.”


In the eight years since Dresselhaus’s death, new advances from her colleagues have borne the signature of her research—and have begun branching out in ever more fascinating directions. Graphene, for example, remains one of the hottest topics in science. Back in the early and mid-2010s, Dresselhaus worked on what she and others called “misoriented graphene.” She and others predicted that by twisting sheets of graphene so that their honeycomb patterns are slightly misaligned when superimposed, researchers could introduce “interesting patterns” that might lead to useful properties. In 2018, Dresselhaus’s MIT colleague Pablo Jarillo-Herrero realized this idea: He and others discovered that if two graphene sheets are combined into a superlattice, aligned at a “magic angle” of 1.1 degrees, the system can become either superconducting or insulating. The development was hailed as a major discovery and marked a jumping-off point for a subfield now known as ­“twistronics.” Physics World named it Breakthrough of the Year.

hexagonal sheets of graphene in slight misalignment
Dresselhaus hypothesized that misaligning sheets of graphene could produce novel properties. In 2018, her MIT colleague Pablo Jarillo- Herrero demonstrated that such an arrangement can become either a superconductor or an insulator.
COURTESY OF THE RESEARCHERS

Also in 2018, MIT opened its doors to a gleaming new nanoscience and nanotechnology research facility at the heart of campus. The $400 million MIT.nano project was a long time in coming; although Dresselhaus missed out on the grand opening, she was very much looking forward to its completion, and to the start of a new generation of nanoscale endeavors at the Institute that would seek to expand humanity’s understanding of physics, chemistry, materials science, energy, biology, and more. In her final years, Dresselhaus had looked to MIT.nano as an extension of her legacy. 

In late 2019, the courtyard between the Institute’s Infinite Corridor and the southern façade of the MIT.nano building was dedicated in her memory. Dubbed the Improbability Walk, the space is a nod to Dresselhaus’s unlikely rise to international prominence from her humble beginnings in Depression-era New York. It also encourages those who might serve as mentors to take time to get to know younger colleagues and students, as Enrico Fermi did with Dresselhaus and Dresselhaus did with so many at MIT. For as improbable as it might seem, an encouraging word from a mentor can immeasurably enhance a young scientist’s life path. 

cover of Carbon Queen

Like Fermi before her, Dresselhaus was deeply committed to giving back—to students, to her research community, to society at large. Throughout her 86-plus years, she gave of her time, her intellect, her energy, her love, and her enthusiasm. In one of her final interviews, the Queen of Carbon issued a ringing invitation. “We need new science and we need new ideas, and there’s plenty of room for young people to come in and have careers discovering those new ideas,” she declared. “Life is very interesting in this lane. Come and join me!” 


Adapted from Carbon Queen: The Remarkable Life of Nanoscience Pioneer Mildred Dresselhaus, by Maia Weinstock (MIT Press). Copyright 2022. Reprinted with permission.

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Egypt Seeks to Free Up Gas for Export

Egypt is embarking on a plan to buy more oil products for power generation as the cash-strapped North African nation frees up gas for LNG exports, as part of efforts to repay money it owes to foreign operators. State-owned Egyptian General Petroleum Corp. plans to buy more than a million tons of diesel, gasoline and butane gas for delivery in November, up 60 percent from the same period last year, according to people familiar with the matter, who asked not to be identified as they’re not authorized to speak to the media. Egypt’s energy ministry didn’t respond to a request for comment. Egypt is seeking to encourage renewed investment by foreign energy companies, which have reduced financing in the country after years of waiting for the government to repay money it owes them. Declining domestic gas output amid surging local demand led Egypt to become a net importer of liquefied natural gas last year in order to avoid blackouts. That has added new financing strains on the government which is emerging from its worst economic crisis in decades. To break this cycle, Cairo decided to allow foreign energy operators to export their share of local gas production as LNG as a way to get their arrears paid and to go ahead with investments in Egypt’s gas output. Three LNG cargoes have been exported since September, including one that the government said was shipped from Egypt’s Idku terminal on behalf of Shell Plc. The government is now in talks with the foreign energy companies to allow them to produce volumes for two shipments every month for loading between November and March from Idku, according to the people.  Egypt’s production of crude oil and condensate fell to 486,000 barrels a day in July, the lowest in decades, according to data from Joint Oil

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Woodside Bumps Up Production Projection for 2025

Woodside Energy Group Ltd has raised its projected 2025 production from 188-195 million barrels of oil equivalent (MMboe) to 192-197 MMboe due to “continued strong performance across assets”. The Australian company saw a one percent increase in output in the third quarter, totaling 50.8 MMboe or 552,000 barrels of oil equivalent a day, according to a stock filing Wednesday. Production consisted of 1.83 billion standard cubic feet a day (Bscfd) of natural gas and 231,000 barrels per day (bpd) of liquids. The increase comes despite Woodside’s sale of producing oil and gas assets in Greater Angostura in Trinidad and Tobago to Perenco, completed in the quarter. Woodside reported 13,000 barrels of oil production and 242,000 oil-equivalent barrels of pipeline gas in Trinidad and Tobago in the July-September period, down from 93,000 barrels and 2.21 MMboe in the prior quarter respectively. In Australia Woodside produced 34.86 MMboe, up from 32.45 MMboe. Australian LNG and piped gas production totaled 20.9 MMboe and 7.85 MMboe respectively, up from 18.9 MMboe and 7.63 MMboe respectively. Australian crude and condensate production stood at 4.94 MMboe, up from 4.92 MMboe. All of Woodside’s liquefaction facilities – North West Shelf, Pluto and Wheatstone – increased output quarter-on-quarter. Pluto achieved 100 percent reliability. At North West Shelf, Woodside completed planned maintenance offshore at North Rankin and onshore at the Karratha Gas Plant. Woodside increased sales one percent quarter-over-quarter to 55 MMboe, consisting of 2.12 Bscfd of gas and 226,000 bpd of liquids. Revenue totaled $3.36 billion, up from $3.28 billion. While realized prices for LNG and East Coast and international piped gas fell, the average realized price rose two percent, “reflecting higher Dated Brent and West Texas Intermediate”, Woodside said. “We continued safe delivery of Woodside’s major growth projects to schedule and budget”, said chief executive Meg O’Neill. “Strong momentum

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NNPC Produced 1.4 MMbpd in First 9 Months

Nigerian National Petroleum Co Ltd (NNPC) averaged 1.37 million barrels per day (MMbpd) in crude production in the first three quarters, according to provisional figures published by the state-owned company on Tuesday. September’s oil output of 1.37 MMbpd represented the third consecutive month of decline, according to NNPC’s monthly report. Oil and condensate production totaled 1.61 MMbpd last month, with condensate accounting for 240,000 bpd. NNPC’s peak oil and condensate production in 2025 so far was 1.77 MMbpd. NNPC sold 17.81 million barrels of crude September, down for the second consecutive month. Its natural gas production and sales stood at 6.28 billion standard cubic feet a day (Bscfd) and 3.44 Bscfd in September respectively, both down for the second consecutive month. “Production levels during the period were temporarily moderated due to planned maintenance activities including those at NLNG alongside the phased recovery of previously shut-in assets and delays in the commencement of operations at OMLs 71 and 72”, the report said. NNPC reported a 77 percent petrol availability at its stations. NNPC’s upstream pipeline availability was 96 percent. NNPC logged NGN 4.27 trillion ($2.91 billion) in revenue for September. Profit after tax was NGN 216 billion. The company reported “statutory payments” of NGN 10.07 trillion. On the Ajaokuta-Kaduna-Kano Gas Pipeline project, the report said, “Sustained focus is being directed towards completion of the mainline works with substantial progress being recorded”. NNPC said in a press release July 1 the project was on track for completion by yearend. On the Obiafu-Obrikom-Oben (OB3) Gas Pipeline project, the report said the execution plan was being revised “to ensure delivery within target timelines”. “113km portion of OB3 Gas Pipeline has been commissioned and flowing circa 300 MMscfd of gas”, the report added. In other developments, Shell PLC earlier this month announced a final investment

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Oil Rises on U.S. Reserve Refill

Oil eked out a gain with Washington planning on buying 1 million barrels of crude for the national stockpile, but held near a five-month low on expectations of a looming global surplus. West Texas Intermediate traded in a more than $1 range before settling near $58 a barrel. Although the US plan to refill the Strategic Petroleum Reserve supported prices, it wasn’t enough to shift sentiment in a market that has declined by more than 10% since late September. WTI futures are on course for a third monthly loss. The amount of crude on tankers at sea has risen to a record high, signaling that a long-anticipated surplus may have started to materialize, while time spreads are starting to signal ample supply. The International Energy Agency expects world oil inventories to exceed demand by almost 4 million barrels a day next year as OPEC+ and some countries outside the alliance ramp up output, likely in a bid to recapture market share. “We’ve got supply growth running three times faster than demand growth,” Bob McNally, founder and president of Rapidan Energy Group, said in an interview on Bloomberg Television. “Near-term we have a glut.” Commodity trading advisers, meanwhile, could potentially reach a maximum-short position in the next few sessions, helping send prices lower, according to data from Bridgeton Research Group. The robot traders are currently 91% short in both Brent and WTI, and could accelerate if futures fall by roughly 1%, the firm added. Traders are also keeping an eye on relations between the US and China, the world’s top producer and consumer of oil. US President Donald Trump again signaled that an expected meeting with counterpart Xi Jinping in South Korea next week might not materialize. The US benchmark crude future’s November expiry on Tuesday also contributed to choppy trading.

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Energy Department Approves Final Export Authorization for Venture Global CP2 LNG

WASHINGTON — U.S. Secretary of Energy Chris Wright today signed the final export authorization for the Venture Global CP2 LNG Project in Cameron Parish, Louisiana, allowing exports of up to 3.96 billion cubic feet per day of U.S. natural gas as liquefied natural gas (LNG) to non-Free Trade Agreement (FTA) countries. “In less than ten months, President Trump’s administration is redefining what it means to unleash American energy by approving record new LNG exports,” said Kyle Haustveit, Assistant Secretary of the Office of Fossil Energy. “Finalizing the non-FTA authorization for CP2 LNG will enable secure and reliable American energy access for our allies and trading partners, while also providing well-paid jobs and economic opportunities at home.” Today’s authorization follows the Department’s conditional authorization to CP2 LNG in March 2025 and reflects the Federal Energy Regulatory Commission’s May 2025 decision approving the siting, construction, and operation of the facility. It also incorporates DOE’s May 2025 response to comments on the 2024 LNG Export Study, which reaffirmed that U.S. LNG exports strengthen America’s energy leadership, expand opportunities for American workers, and provide our allies with secure access to reliable U.S. energy. On day one, President Trump directed the Energy Department to end the Biden administration’s LNG export pause and to resume the consideration of pending applications to export LNG to countries without a free trade agreement (FTA). Under President Trump’s leadership, DOE has authorized more than 13.8 Bcf/d of LNG exports—greater than the volume exported today by the world’s second-largest LNG supplier. Today, U.S. exports are approximately 15 billion cubic feet per day (Bcf/d), an increase of approximately 25% from 2024 levels.

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AI gold rush sparks backlash against Core Scientific acquisition

Meanwhile, in a release issued last week, CoreWeave stated, “it has been unequivocal — to Core Scientific and publicly — that we will not modify our offer. Our offer is best and final.” Alvin Nguyen, senior analyst at Forrester Research, said what happens next with the overall data center market “depends on when AI demand slows down (when the AI bubble bursts).” He added, “if AI demand continues, prices continue to go up, and data centers change in terms of preferred locations (cooler climates, access to water, lots of space, more remote), use of microgrids/energy production, expect [major] players to continue to dominate.” However, said Nguyen, “if that slowdown is soon, then prices will drop, and the key players will need to either unload property or hold onto them until AI demand builds back up.” Generational shift occurring Asked what the overall effect of AI will be on CIOs in need of data center capacity, he said, “the new AI mega-factories alter data center placement: you don’t put them near existing communities because they demand too much power, water, land, you build them somewhere remote, and communities will pop up around them.” Smaller data centers, said Nguyen, “will still consume power and water in contention with their neighbors (industrial, commercial, and residential), potential limiting their access or causing costs to rise. CIOs and Network World readers should evaluate the trade offs/ROI of not just competing for data center services, but also for being located near a new data center.”

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Why cloud and AI projects take longer and how to fix the holdups

No. 2 problem: Unrealistic expectations lead to problematic requirements Early planning and business case validation show that the requirements set for the project can’t be met, which then requires a period of redefinition before real work can start. This situation – reported by 69% of enterprises – leads to an obvious question: Is it the requirements or the project that’s the problem? Enterprises who cite this issue say it’s the former, and that it’s how the requirements are set that’s usually the cause. In the case of the cloud, the problem is that senior management thinks that the cloud is always cheaper, that you can always cut costs by moving to the cloud. This is despite the recent stories on “repatriation,” or moving cloud applications back into the data center. In the case of cloud projects, most enterprise IT organizations now understand how to assess a cloud project for cost/benefit, so most of the cases where impossible cost savings are promised are caught in the planning phase. For AI, both senior management and line department management have high expectations with respect to the technology, and in the latter case may also have some experience with AI in the form of as-a-service generative AI models available online. About a quarter of these proposals quickly run afoul of governance policies because of problems with data security, and half of this group dies at this point. For the remaining proposals, there is a whole set of problems that emerge. Most enterprises admit that they really don’t understand what AI can do, which obviously makes it hard to frame a realistic AI project. The biggest gap identified is between an AI business goal and a specific path leading to it. One CIO calls the projects offered by user organizations as “invitations to AI fishing

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Riverbed tackles AI data bottleneck with new Oracle-based service

“Customers are looking for faster, more secure ways to move massive datasets so they can bring AI initiatives to life,” said Sachin Menon, Oracle’s vice president of cloud engineering, in a statement. “With Riverbed Data Express Service deployed on OCI, organizations will be able to accelerate time to value, reduce costs, and help ensure that their data remains protected.” Riverbed’s Aras explains that its Data Express Service uses post-quantum cryptography (PQC) to move petabyte-scale datasets through secure VPN tunnels to ensure that customer data remains protected during the transfer process. The technology is based on Riverbed’s SteelHead acceleration platform running RiOS 10 software. “Our cloud-optimized technology design delivers much higher data retrieval, data movement across the network, and data write rates, through highly performant data mover instances, instance parallelization and matched network fabric configurations. The design is tailored for each cloud, to ensure maximal performance can be achieved using cloud-specific product adjustments,” Aras says. “The time for preventing harvest-now, decrypt-later is now,” Aras says, referring to the security threat where encrypted data is intercepted and stored for decryption once quantum computers become powerful enough. The Riverbed service addresses use cases spanning AI model training, inference operations, and emerging agentic AI applications. Data Express is initially deployed on Oracle Cloud Infrastructure, but Riverbed said the service will orchestrate data movement across AWS, Azure, and Google Cloud Platform, as well as on-premises data centers. General availability is planned for Q4 2025.

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Roundup: Digital Realty Marks Major Milestones in AI, Quantum Computing, Data Center Development

Key features of the DRIL include: • High-Density AI and HPC Testing. The DRIL supports AI and high-performance computing (HPC) workloads with high-density colocation, accommodating workloads up to 150 kW per cabinet. • AI Infrastructure Optimization. The ePlus AI Experience Center lets businesses explore AI-specific power, cooling, and GPU resource requirements in an environment optimized for AI infrastructure. • Hybrid Cloud Validation. With direct cloud connectivity, users can refine hybrid strategies and onboard through cross connects. • AI Workload Orchestration. Customers can orchestrate AI workloads across Digital Realty’s Private AI Exchange (AIPx) for seamless integration and performance. • Latency Testing Across Locations. Enterprises can test latency scenarios for seamless performance across multiple locations and cloud destinations. The firm’s Northern Virginia campus is the primary DRIL location, but companies can also test latency scenarios between there and other remote locations. DRIL rollout to other global locations is already in progress, and London is scheduled to go live in early 2026. Digital Realty, Redeployable Launch Pathway for Veteran Technical Careers As new data centers are created, they need talented workers. To that end, Digital Realty has partnered with Redeployable, an AI-powered career platform for veterans, to expand access to technical careers in the United Kingdom and United States. The collaboration launched a Site Engineer Pathway, now live on the Redeployable platform. It helps veterans explore, prepare for, and transition into roles at Digital Realty. Nearly half of veterans leave their first civilian role within a year, often due to unclear expectations, poor skill translation, and limited support, according to Redeployable. The Site Engineer Pathway uses real-world relevance and replaces vague job descriptions with an experience-based view of technical careers. Veterans can engage in scenario-based “job drops” simulating real facility and system challenges so they can assess their fit for the role before applying. They

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BlackRock’s $40B data center deal opens a new infrastructure battle for CIOs

Everest Group partner Yugal Joshi said, “CIOs are under significant pressure to clearly define their data center strategy beyond traditional one-off leases. Given most of the capacity is built and delivered by fewer players, CIOs need to prepare for a higher-price market with limited negotiation power.” The numbers bear this out. Global data center costs rose to $217.30 per kilowatt per month in the first quarter of 2025, with major markets seeing increases of 17-18% year-over-year, according to CBRE. Those prices are at levels last seen in 2011-2012, and analysts expect them to remain elevated. Gogia said, “The combination of AI demand, energy scarcity, and environmental regulation has permanently rewritten the economics of running workloads. Prices that once looked extraordinary have now become baseline.” Hyperscalers get first dibs The consolidation problem is compounded by the way capacity is being allocated. North America’s data center vacancy rate fell to 1.6% in the first half of 2025, with Northern Virginia posting just 0.76%, according to CBRE Research. More troubling for enterprises: 74.3% of capacity currently under construction is already preleased, primarily to cloud and AI providers. “The global compute market is no longer governed by open supply and demand,” Gogia said. “It is increasingly shaped by pre-emptive control. Hyperscalers and AI majors are reserving capacity years in advance, often before the first trench for power is dug. This has quietly created a two-tier world: one in which large players guarantee their future and everyone else competes for what remains.” That dynamic forces enterprises into longer planning cycles. “CIOs must forecast their infrastructure requirements with the same precision they apply to financial budgets and talent pipelines,” Gogia said. “The planning horizon must stretch to three or even five years.”

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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