Young Suh Kim, 1935 - 2025

Professor Emeritus Young Suh Kim died on October 25, 2025 at age 90.  Prof. Kim's research was dedicated to elucidating the connections between relativity, quantum mechanics, and the symmetries that underlie the laws of nature.

Born in Korea in 1935, Prof. Kim earned his Bachelor of Science degree from the Carnegie Institute of Technology (now Carnegie Mellon University) and his Ph.D. in Physics from Princeton University
in 1961. He stayed at Princeton to complete his postdoctoral research. At the invitation of Department Chair John S. Toll, Kim joined the University of Maryland faculty in 1962. At the time, he was the
youngest person to become assistant professor at the university. He retired in 2007.

While at Princeton as a graduate student, he studied Eugene Wigner’s influential 1939 paper on the inhomogeneous Lorentz group, and had the privilege of asking questions directly to Wigner. At the start of
Prof. Kim’s career at Maryland, Paul A. M. Dirac visited for one week, and Prof. Kim was assigned to serve as Dirac’s personal assistant. During this time, Dirac suggested to Kim that more physicists should study the relationship of Lorentz covariance to the internal symmetries of particles.

Prof. Kim’s early research centered on the representations of the Lorentz and Poincaré groups, the fundamental symmetries of special relativity. Together with Marilyn E. Noz, he developed the covariant harmonic oscillator model, providing a relativistically consistent description of the internal structure of bound systems. Their 1977 paper, “Covariant Harmonic Oscillators and the Parton Picture” (Physical Review D, 15, 335), offered an innovative framework linking the quark model of hadrons with Feynman’s parton picture of high-energy processes. This work sought to reconcile the static quark view with the dynamic, frame-dependent parton model through Lorentz-covariant formalism.

Professor Kim’s numerous papers appeared in leading journals including Physical Review, Physical

Review Letters, and Journal of Mathematical Physics. His 1989 paper, “Observable Gauge Transformations in the Parton Picture,” offered an important contribution to the study of relativistic symmetries in hadron structure by showing that the parton picture of fast-moving hadrons can be understood as a Lorentz covariant effect with the use of Wigner’s little group formalism, an insightful complement to the dynamical consequence of QCD interactions.  

He had a long collaboration with Wigner, co-authoring the 1990 paper “Space-time Geometry of  Relativistic Particles” in the Journal of Mathematical Physics. In it he uses Wigner’s little group formalism to unify the space-time geometry of relativistic particles — from massive quarks to massless photons — within a single Lorentz-covariant framework. Again complementing QCD, it is a deep symmetry-based reinterpretation of how internal quantum states (spin, helicity) are tied to external Lorentz transformations. His influential book “Theory and Applications of the Poincare Group” is a key resource for understanding how symmetries underpin modern physics, with discussions of how Poincaré symmetries explain conservation laws via Noether’s theorem. 

Prof. Kim is survived by his wife, son, daughter-in-law, two grandchildren, and a global community of former students, collaborators, and admirers. 

Gates Receives 2025 Barry Prize, Named Fellow of the American Mathematical Society and African Academy of Sciences

Distinguished University Professor Sylvester James Gates, Jr.  was recently named Fellow of both the American Mathematical Society and the African Academy of Sciences and received the 2025 Barry Prize for Distinguished Intellectual Achievement from the American Academy of Sciences & Letters. The Barry Prize honors “those whose work has made outstanding contributions to humanity’s knowledge, appreciation, and cultivation of the good, the true, and the beautiful.”

A member of the National Academy of Sciences and recipient of the National Medal of Science, Gates holds the Clark Leadership Chair in Science, a joint appointment in the Department of Physics and the School of Public Policy, and is a University System of Maryland Regents Professor. Gates was also elected Fellow of the American Physical Society in 1994, making him a dual Fellow of the two learned societies.

“I do not believe it could have been possible for me to have had this type of career without the support given to me by the University of Maryland,” Gates said. “The recognition from the AMS is especially sweet, and a beautiful way to honor my deceased grandfather and father, who did not graduate from high school but had an affection for mathematics.”

Gates is well known for his seminal work in supersymmetry, supergravity and string theory. He made milestone discoveries in the mathematics of particle theory and the geometry of gravity. In addition to his research achievements, Gates also distinguished himself as a powerful advocate for education and an ambassador of science worldwide.

“It is truly inspiring to see Professor Gates’ groundbreaking research and tireless public outreach honored by these prestigious organizations,” said Amitabh Varshney, dean of UMD’s College of Computer, Mathematical, and Natural Sciences. “These honors are well-deserved given his pioneering discoveries that cross the boundaries of mathematics and physics.”

Gates’ Barry Prize citation reads: “In a career that joins pioneering academic contributions with public service, Sylvester James Gates, Jr. has advanced our understanding of space and time, the great cosmic scaffold of our world. He has expanded the boundaries of physics through his work on supersymmetry, supergravity, and superstring theory, and expanded its scope through education of the public, and advocacy for those seeking opportunity in the sciences. The Academy honors Dr. Gates’ distinguished contributions to humanity’s insight into the most basic elements that constitute our universe.”

“Professor Gates' remarkable career exemplifies both the spirit of the School of Public Policy and the best of what a university can offer, bringing scientific rigor to questions of policy and public purpose,” said Gustavo Flores-Macías, dean of UMD’s School of Public Policy. “His achievements reflect the far-reaching impact of his scholarship and leadership and remind us how deeply intertwined scientific discovery and societal progress truly are.”

Gates served on the President’s Council of Advisors on Science and Technology under Barack Obama and was the vice president of the Maryland State Board of Education. He also received the American Institute of Physics’ 2021 Andrew Gemant Award, which recognizes contributions to the cultural, artistic or humanistic dimension of physics. 

He is the author (with Cathie Pelletier) of “Proving Einstein Right: The Daring Expeditions that Changed How We Look at the Universe,” a well-reviewed tale of scientific passion and pursuit in the early 20th century.

Gates joined the UMD physics faculty in 1984. He also held appointments at the Massachusetts Institute of Technology, Howard University, Dartmouth College and Brown University. He served as president of both the National Society of Black Physicists and the American Physical Society.

UMD Professor Emeritus of Government and Politics Charles E. Butterworth also received the 2025 Barry Prize. UMD was the only school with two faculty members to receive the award this year; only two other faculty members from public universities have received the award since its 2023 inception.

Original story: https://cmns.umd.edu/news-events/news/sylvester-james-gates-jr-barry-prize-fellow-ams-aas

Barkeshli Selected for Prestigious Simons Collaboration to Study Inner Workings of Artificial Intelligence

As artificial intelligence (AI) rapidly transforms everything from medicine to scientific research to creative fields, a fundamental question remains unanswered: How do AI systems actually work?  

AI models help diagnose diseases, discover new drugs, write computer code and generate images, yet scientists still don't fully understand the principles underlying their remarkable capabilities. Solving this ‘black box’ problem—where we can see AI's outputs but can’t fully comprehend its internal workings—has become more urgent as these systems become more deeply embedded in society.

University of Maryland Physics Professor Maissam Barkeshli will help unravel that mystery. 

Barkeshli was one of 17 principal investigators recently chosen for the Simons Collaboration on the Physics of Learning and Neural Computation, an international research initiative that aims to investigate the complex inner workings of AI. The collaboration, which will receive $2 million annually for the next four years, brings together leading experts from physics, mathematics, computer science and neuroscience. The team will first identify key emerging phenomena in AI before isolating them and studying them systematically, forming smaller working groups to tackle specific questions, then combining their findings at the conclusion of the collaboration.

“Maissam exemplifies the intellectual agility we prize in our faculty,” said UMD Physics Chair and Professor Steven Rolston. “Originally hired for his work in condensed matter theory, he is pivoting to address the exciting and potentially impactful challenge of understanding why artificial intelligence models actually work, informed by the concepts of mathematical and statistical physics.”

At UMD, Barkeshli's primary research focuses on quantum many-body phenomena. He studies how collections of many particles like electrons in materials spontaneously organize into unusual or specific positions such as superconductors and quantum Hall systems. Such events are emergent phenomena, which occur when simple components interact to create behaviors that cannot be predicted from studying individual parts alone. 

“Fundamentally, the field is really about emergence,” Barkeshli noted. “It’s about understanding collective behavior that is qualitatively different when you go to different scales that you wouldn’t have seen at smaller scales.” 

For Barkeshli, intelligence and learning are forms of emergent phenomena as well. Just as billions of electrons can collectively create superconductivity, neural networks with billions of parameters somehow learn to reason and understand language. As he begins his collaboration with experts from multiple disciplines, Barkeshli believes the theoretical tools and perspectives that physicists have developed in understanding the natural world can help us understand how AI works as well.

“There are three core ingredients of AI systems that interact to produce intelligence: training data, neural network architecture and optimization algorithms that are used to train models,” Barkeshli explained. “There’s incredibly rich interaction between these ingredients, but they all act very differently between themselves and have their own peculiarities at the individual level. We don’t have a very good idea of how it all comes together or why it works so well.”

These interactions lead to even more mysteries. For example, Barkeshli noted that AI follows predictable “scaling laws.”

“As you increase the size of data, the network and the computing power spent on training, AI systems get better and better,” he said. “In some cases, they follow very predefined, almost law-like patterns, where they’re getting better in a very predictable way. This is an emergent phenomenon that isn’t understood very well that we hope to study.”

Current AI development relies heavily on trial and error, but Barkeshli’s work on emergent phenomena may be the key to answering fundamental questions—such as why the human brain can operate on about 20 watts of power, yet AI systems require much more energy to complete similar cognitive tasks. 

“People have been trying different ideas based on intuition, but a more systematic understanding of AI could unlock some useful capabilities, like bridging that efficiency gap between human brains and language models,” he explained. 

Although the Simons Collaboration will focus on the most fundamental aspects of AI systems, Barkeshli hopes that “peeking under the hood” will illuminate more profound applications for AI in everyday life. 

“There’s room for making immense improvements,” Barkeshli said. “With a deeper understanding of the fundamentals of AI, especially from a physicist’s point of view, we could come up with different kinds of curricula for data to train with, different kinds of architectures, different kinds of optimization algorithms—even entirely new paradigms that we haven’t thought of yet.”

 

Original story by Georgia Jiang: https://cmns.umd.edu/news-events/news/umd-physicist-selected-prestigious-simons-collaboration-study-inner-workings   

 

When Superfluids Collide, Physicists Find a Mix of Old and New

Physics is often about recognizing patterns, sometimes repeated across vastly different scales. For instance, moons orbit planets in the same way planets orbit stars, which in turn orbit the center of a galaxy.

When researchers first studied the structure of atoms, they were tempted to extend this pattern down to smaller scales and describe electrons as orbiting the nuclei of atoms. This is true to an extent, but the quirks of quantum physics mean that the pattern breaks in significant ways. An electron remains in a defined orbital area around the nucleus, but unlike a classical orbit, an electron will be found at a random location in the area instead of proceeding along a precisely predictable path.

That electron orbits bear any similarity to the orbits of moons or planets is because all of these orbital systems feature attractive forces that pull the objects together. But a discrepancy arises for electrons because of their quantum nature. Similarly, superfluids—a quantum state of matter—have a dual nature, and to understand them, researchers have had to pin down when they follow the old rules of regular fluids and when they play by their own quantum rules. For instance, superfluids will fill the shape of a container like normal fluids, but their quantum nature lets them escape by climbing vertical walls. Most strikingly, they flow without any friction, which means they can spin endlessly once stirred up.A new experiment forces two quantum superfluids together and creates mushroom cloud shapes similar to those seen above explosions. The blue and yellow areas represent two different superfluids, which each react differently to magnetic fields. After separating the two superfluids (as shown on the left), researchers pushed them together, forcing them to mix and creating the recognizable pattern that eventually broke apart into a chaotic mess. (Credit: Yanda Geng/JQI)A new experiment forces two quantum superfluids together and creates mushroom cloud shapes similar to those seen above explosions. The blue and yellow areas represent two different superfluids, which each react differently to magnetic fields. After separating the two superfluids (as shown on the left), researchers pushed them together, forcing them to mix and creating the recognizable pattern that eventually broke apart into a chaotic mess. (Credit: Yanda Geng/JQI)

JQI Fellows Ian Spielman and Gretchen Campbell and their colleagues have been investigating the rich variety of quantum behaviors present in superfluids and exploring ways to utilize them. In a set of recent experiments, they mixed together two superfluids and stumbled upon some unexpected patterns that were familiar from normal fluids. In an article published in Aug. 2025 in the journal Science Advances, the team described the patterns they saw in their experiments, which mirrored the ripples and mushroom clouds that commonly occur when two ordinary fluids with different densities meet.

The team studies a type of superfluid called a Bose-Einstein condensate (BEC). BECs form by cooling many particles down so cold that they all collect into a single quantum state. That consolidation lets all the atoms coordinate and allows the quirks of quantum physics to play out at a much larger scale than is common in nature. The particular BEC they used could easily be separated into two superfluids that provide a convenient way for the team to prepare nearly smooth interfaces, which were useful for seeing mixing patterns balloon from the tiniest seeds of imperfection into a turbulent mess. And the researchers didn’t only find classical fluid behaviors in the quantum world; they also spied the quantum fingerprints hidden beneath the surface. Using the uniquely quantum features of their experiment, they developed a new technique for observing currents along the interface of two superfluids.

“It was really exciting to see how the behavior of normal liquids played out for superfluids, and to invent a new measurement technique leveraging their uniquely quantum behavior,” Spielman says.

To make the two superfluid BECs in the new experiment, the researchers used sodium atoms. Each sodium atom has a spin, a quantum property that makes it act like a little magnet that can either point with or against a magnetic field. Hitting the cooled down cloud of sodium atoms with microwaves produces roughly equal numbers of atoms with spins pointing in opposite directions, which forms two BECs with distinct behaviors. In an uneven magnetic field, the cloud of the two intermingled BECs formed by the microwave pulse will sort itself into two adjacent clouds, with one effectively floating on top of the other; adjusting the field can make the superfluids move around.

This process was old hat in the lab, but, together with a little happenstance, it inspired the new experiment. JQI graduate student Yanda Geng, who is the lead author of the paper, was initially working on another project that required him to smooth out variations of the magnetic field in his setup. To test for magnetic fluctuations, Geng would routinely turn his cloud of atoms into the two BECs and take a snapshot of their distribution. The resulting images caught the eye of JQI postdoctoral researcher Mingshu Zhao, who at the time was working on his own project about turbulence in superfluids. Zhao, who is also an author of the paper, thought that the swirling patterns in the superfluids were reminiscent of turbulence in normal fluids. The snapshots from the calibration didn’t clearly show mushroom clouds, but something about the way the two BECs mixed seemed familiar.

“This is what you call serendipity,” Geng says. “And if you have somebody in the lab who knows what could have happened, they immediately could say, ‘Oh, that's something interesting and probably worth pursuing scientifically.’”

The hints kept appearing as Geng’s original experiment repeatedly hit roadblocks. After months of working on the project, he felt like he was banging his head against a wall. One weekend, another colleague, JQI postdoctoral researcher Junheng Tao, encouraged Geng to mix things up and spend some time exploring the hints of turbulence. Tao, who is also an author of the paper, suggested they intentionally create the two fluids in a stable state and check if they could see patterns forming before the turbulence erupted.

“It was a Sunday, we went into the lab, and we just casually put in some numbers and programmed the experiment, and bam, you see the signal,” Geng says.

The magnetic responses of the two BECs gave Geng and Tao a convenient way to control the superfluids. First, they let magnetism pull the two BECs into a stable configuration in which they lie flush against each other, like oil floating on water. Then, by reversing the way the magnetic field varied across the experiment, the BECs were suddenly pulled in the opposite direction, instantly producing the equivalent of water balanced on top of oil.

After adjusting the field, Geng and Tao were able to take just a single snapshot of the mixing BECs. To get the image, they relied on the fact that the BECs naturally absorb different colors of light. They flashed a color that interacted with just one of the BECs, so they could identify each BEC based on where the light was absorbed. Inconveniently, absorbing the light knocked many atoms out of the BECs, so snapping the image ended the run of the experiment.

By waiting different amounts of time each run, they were able to piece together what was happening as the two BECs mixed. The results revealed the distinctive formation of mushroom clouds that ultimately degenerated into messy turbulence. The researchers determined that despite the many stark differences between BEC superfluids and classical fluids, the BECs recreated a widespread effect, called the Rayleigh-Taylor instability, that is found in normal fluids.

The Rayleigh-Taylor instability describes the process of two distinct fluids needing to exchange places, such as when a dense gas or liquid is on top of a lighter one with gravity pulling it down. The instability produces a pattern of growth of small imperfections in an almost stable state that devolves into unpredictable turbulent mixing. It occurs for water on top of oil, cool dense air over hotter air (as happens after a big explosion) and when layers of material explode out from a star during a supernova. The instability contributes to the iconic “mushroom clouds” observed in the air layers moving above explosions, and similar shapes were found in the BEC.

“At first it's really mind-boggling,” Geng says. “How can it happen here? They’re just completely different things.”

With a little more work, they confirmed they could reliably recreate the behavior and showed that the superfluids in the experiment had all the necessary ingredients to produce the instability. In the experiment, the researchers had effectively substituted magnetism into the role gravity often plays in the creation of the Rayleigh-Taylor instability. This made it convenient to flip the direction of the force at a whim, which made it easy to begin with a calm interface between the fluids and observe the instability balloon from the tiniest seeds of imperfection into turbulent mixing.

The initial result prompted the group to follow up on the project with another experiment exploring a more stable effect at the interface. Instead of completely flipping the force, they kept the “lighter” BEC on top—like oil, or even air, resting on water. By continuously varying the magnetic field at a particular rate, they could shake the interface and create the equivalent of ripples on the surface of a pond. Since the atoms in each BEC all share a quantum state, the ripples have quantum properties and can behave like particles (called ripplons).

But despite the clear patterns resembling mushroom clouds and ripples of normal fluids, the quantum nature of the BECs was still present throughout the experiment. After seeing the familiar behaviors, Geng began to think about the quantum side of the superfluids and turned his attention to something that is normally challenging to do with BECs—measuring the velocity of currents flowing through them.

Geng and his colleagues used the fact that the velocity of a BEC is tied toits phase—a wavelike feature of every quantum state. The phase of a single quantum object is normally invisible, but when multiple phases interact, they can influence what researchers see in experiments. Like waves, if two phases are both at a peak when they meet, they combine, but if a peak meets a trough, they instead cancel out. Or circumstances can produce any of the intermediate forms of combining or partially cancelling out. When different interactions occur at different positions, they create patterns that are often visible in experiments. Geng realized that at the interfaces in his experiment the wavefunctions of the two BECs met and gave them a unique chance to observe interfering BEC phases and determine the velocities of the currents flowing along the interface. 

When the two BECs came together in their experiments, their phases interfered, but the resulting interference pattern remained hidden. However, Geng knew how to translate the hidden interference pattern to something he could see. Hitting the BECs with a microwave pulse could push the sodium atoms into new states where the pattern could be experimentally observed. With that translation, Geng could use his normal snapshot technique to capture an image of the interference between the two phases.

The quantum patterns he saw provide an additional tool for understanding the mixing of superfluids and demonstrate how the familiar Rayleigh-Taylor instability pattern found in the experiment had quantum patterns hidden beneath the surface. The results revealed that despite BEC superfluids being immersed in the quantum world, researchers can still benefit from keeping an eye out for the old patterns familiar from research on ordinary fluids.

“I think it's a very amazing thing for physicists to see the same phenomenon manifest in different systems, even though they are drastically different in their nature,” Geng says.

Original story by Bailey Bedford: https://jqi.umd.edu/news/when-superfluids-collide-physicists-find-mix-old-and-new

In addition to Campbell, who is also the Associate Vice President for Quantum Research and Education at UMD; Spielman; Geng; and Zhao, co-authors of the paper include former JQI postdoctoral researcher Shouvik Mukhherjee and NIST scientist and former JQI postdoctoral researcher Stephen Eckel.