From zero to working prototype in just four months, students in the College of Computing’s new entrepreneurial Junior Design Capstone tackle real-world problems with guidance from startup mentors.

The AI4Science Center has announced the first recipients of its semiannual seed grant competition. Supported by the Schools of Chemistry and Biochemistry, Physics, and Psychology, the seed grant aims to support the development of research projects centered on innovation and collaboration. 

“The selection committee received more than a dozen proposals that push the boundaries of AI-enabled science and encourage collaboration across units. I look forward to seeing the great science, strong results, and successful future external funding enabled by these seed grants,” says Dimitrios Psaltis, professor in the School of Physics and director of the AI4Science Center. 

Launched earlier this semester, the center promotes cross-disciplinary research on AI tools that address scientific challenges. The following three proposals were selected by the center based on their scientific goals, extent of interdisciplinary collaboration, and potential for outside funding: 

Spring 2026 AI4Science Center Seed Grant Recipients  

Graph Foundation Models for Protein Conformational Dynamics | School of Chemistry and Biochemistry 

• PIs: Professor Peter Kasson, School of Chemistry and Biochemistry; Professor JC Gumbart, School of Physics; Assistant Professor Amirali Aghazadeh, School of Electrical and Computer Engineering
• Graduate student: Jeffy Jeffy
• Team statement: “The AI4Science Center’s seed funding will allow us to complete and test a prototype of our new deep learning architecture for protein dynamics. We're super excited about the project and happy that this gives us support to pursue our new idea.”

Combinations of Verified AI and Domain Knowledge for New Insights in Theoretical Physics | School of Physics

• PIs: Assistant Professor Aishik Ghosh, School of Physics; Professor Vijay Ganesh, School of Computer Science
• Graduate student: Piyush Jha
• Team statement: “This seed funding gives us an opportunity to connect two fields in a way that could transform our approach to certain problems in theoretical physics.”

Harnessing the Manifold Geometry of Neural Representations for Robust LLM Safety | School of Psychology 

• PIs: Assistant Professor Audrey Sederberg, School of Psychology; Assistant Professor Pan Li, School of Electrical and Computer Engineering
• Graduate student: Ruixuan Deng
• Team statement: “Our project injects insights from human neuroscience directly into AI safety algorithm design, allowing us to move beyond black-box approaches toward more interpretable and principled safety mechanisms. By closing the loop, these computational models will also provide new feedback and insights for neuroscience.”

Spaceflight is becoming safer, more frequent, and more sustainable thanks to the largest computational fluid flow simulation ever ran on Earth.

Inspired by SpaceX’s Super Heavy booster, a team led by Georgia Tech’s Spencer Bryngelson and New York University’s Florian Schäfer modeled the turbulent interactions of a 33-engine rocket. Their experiment set new records, running the largest ever fluid dynamics simulation by a factor of 20 and the fastest by over a factor of four.

The team ran its custom software on the world’s two fastest supercomputers, as well as the eighth fastest, to construct such a massive model.

Applications from the simulation reach beyond rocket science. The same computing methods can model fluid mechanics in aerospace, medicine, energy, and other fields. At the same time, the work advances understanding of the current limits and future potential of computing. 

The team finished as runners-up for the 2025 Gordon Bell Prize for its impactful, multi-domain research. Referred to as the Nobel Prize of supercomputing, the award was presented at the world’s top conference for high-performance computing (HPC) research.

“Fluid dynamics problems of this style, with shocks, turbulence, different interacting fluids, and so on, are a scientific mainstay that marshals our largest supercomputers,” said Bryngelson, an assistant professor with the School of Computational Science and Engineering (CSE).

“Larger and faster simulations that enable solutions to long-standing scientific problems, like the rocket propulsion problem, are always needed. With our work, perhaps we took a big dent out of that issue.”

The Super Heavy booster reflects the space industry’s move toward reusable multi-engine first-stage rockets that are easier to transport and more economical overall. 

However, this shift creates research and testing challenges for new designs.

Each of Super Heavy’s 33 thrusters expels propellant at ten times the speed of sound. As individual engines reach extreme temperatures, pressures, and densities, their combined interactions with the airframe make such violent physics even more unpredictable.

Frequent physical experiments would be expensive and risky, so scientists rely on computer models to supplement the engineering process. 

Bryngelson’s flagship Multicomponent Flow Code (MFC) software anchored the experiment. MFC is an open-source computer program that simulates fluid dynamic models. Bryngelson’s lab has been modifying MFC since 2022 to run on more powerful computers and solve larger problems. 

In computing terms, this MFC-enhanced model simulated fluid flow resolution at 200 trillion grid points and one quadrillion degrees of freedom. These metrics exceeded previous record-setting benchmarks that tallied 10 trillion and 30 trillion grid points.

This means MFC simulations provide greater detail and capture smaller-scale features than previous approaches. The rocket simulation also ran four times faster and achieved 5.7 times the energy efficiency of comparable methods.   

Integrating information geometric regularization (IGR) into MFC played a key role in attaining these results. This new approach improved the simulation’s computational efficiency and overcame the challenge of shock dynamics.

In fluid mechanics, shock waves occur when objects move faster than the speed of sound. Along with hampering the performance of airframes and propulsion systems, shocks have historically been difficult to simulate.

Computational scientists have used empirical models based on artificial viscosity to account for shocks. Although these approaches mimic the physical effects of shock waves at the microscopic scale, they struggle to effectively capture the large-scale features of the flow. 

Information geometry uses curved spaces to study concepts of statistics and information. IGR uses these tools to modify the underlying geometry in fluid dynamics equations. When traveling in the modified geometry, fluid in the model preserves the shocks in a more natural way. 

“When regularizing shocks to much larger scales relevant in these numerical simulations, conventional methods smear out important fine-scale details,” said Schäfer, an assistant professor at NYU’s Courant Institute of Mathematical Sciences.

“IGR introduces ideas from abstract math to CFD that allow creating modified paths that approach the singularity without ever reaching it. In the resulting fluid flow, shocks never become too spiky in simulations, but the fine-scale details do not smear out either.” 

Simulating a model this large required the Georgia Tech researchers to run MFC on El Capitan and Frontier, the world's two fastest supercomputers. 

The systems are two of four exascale machines in existence. This means they can solve at least one quintillion (“1” followed by 18 zeros) calculations per second. If a person completed a simple math calculation every second, it would take that person about 30 billion years to reach one quintillion operations.

Frontier is housed at Oak Ridge National Laboratory and debuted as the world’s first exascale supercomputer in 2022. El Capitan surpassed Frontier when Lawrence Livermore National Laboratory launched it in 2024.

To prepare MFC for performance on these machines, Bryngelson’s lab followed a methodical approach spanning years of hardware acquisition and software engineering. 

In 2022, Bryngelson attained an AMD MI210 GPU accelerator. Optimizing MFC on the component played a critical step toward preparing the software for exascale machines.

AMD hardware underpins both El Capitan and Frontier. The MI300A GPU powers El Capitan while Frontier uses the MI250X GPU. 

After configuring MFC on the MI210 GPU, Bryngelson’s lab ran the software on Frontier for the first time during a 2023 hackathon. This confirmed the code was ready for full-scale deployment on exascale supercomputers based on AMD hardware. 

In addition to El Capitan and Frontier, the simulation ran on Alps, the world’s eight-fastest supercomputer based at the Swiss National Supercomputing Centre. It is the largest available system that features the NVIDIA GH200 Grace Hopper Superchip.

Like with AMD GPUs, Bryngelson acquired four GH200s in 2024 and began configuring MFC to the latest hardware innovation powering New Age supercomputers. Later that year, the Jülich Research Centre accepted Bryngelson’s group into an early access program to test JUPITER, a developing supercomputer based on the NVIDIA superchip.

The group earned a certificate for scaling efficiency and node performance on the way toward validating that their code worked on the GH200. The early access project proved successful for JUPITER, which launched in 2025 as Europe’s fastest supercomputer and fourth fastest in the world.

“Getting the level of hands-on experience with world-leading supercomputers and computing resources at Georgia Tech through this project has been a fantastic opportunity for a grad student,” said CSE Ph.D. student Ben Wilfong.

“To leverage these machines, I learned more advanced programming techniques that I’m glad to have in my tool belt for future projects. I also enjoyed the opportunity to work closely with and learn from industry experts from NVIDIA, AMD, and HPE/Cray.”

El Capitan, Frontier, JUPITER, and Alps maintained their rankings at the 2025 International Conference for High Performance Computing Networking, Storage and Analysis (SC25). Of note, the TOP500 announced at SC25 that JUPITER surpassed the exaflop threshold. 

The SC Conference Series is one of two venues where the TOP500 announces updated supercomputer rankings every June and November. The TOP500 ranks and details the 500 most powerful supercomputers in the world. 

The SC Conference Series serves as the venue where the Association for Computing Machinery (ACM) presents the Gordon Bell Prize. The annual award recognizes achievement in HPC research and application. The Tech-led team was among eight finalists for this year’s award.

Along with Bryngelson, Georgia Tech members included Ph.D. students Anand Radhakrishnan and Wilfong, postdoctoral researcher Daniel Vickers, alumnus Henry Le Berre (CS 2025), and undergraduate student Tanush Prathi.

Schäfer’s partnership with the group stems from his previous role as an assistant professor at Georgia Tech from 2021 to 2025. 

Collaborators on the project included Nikolaos Tselepidis and Benedikt Dorschner from NVIDIA, Reuben Budiardja from ORNL, Brian Cornille from AMD, and Stephen Abbot from HPE. All were co-authors of the paper and named finalists for the Gordon Bell Prize. 

“I’m elated that we have been nominated for such a prestigious award. It wouldn't have been possible without the combined and diligent efforts of our team,” Radhakrishnan said. 

“I’m looking forward to presenting our work at SC25 and connecting with other researchers and fellow finalists while showcasing seminal work in the field of computing.”

This research is shared jointly with the Arizona State University newsroom.

The surface and atmosphere of Mars have seen many changes over its 4.5-billion-year history. While the planet's current atmosphere is very thin (about 0.6% of Earth's), it was once thick enough to sustain liquid water.

According to new research published in Communications Earth & Environment, these atmospheric changes could play a key role in how we interpret sediment deposits on the planet.

“We found that the changing pressure resulting from atmospheric changes would have produced sediment-rich water flows with varying shapes over time,” says co-author and Georgia Tech Assistant Professor Frances Rivera-Hernández, adding that since Mars’ present-day atmosphere is very thin, the associated low pressures would produce behaviors not seen on Earth. 

“Earth’s thicker atmosphere means that there are higher pressures on our planet, which produce very different behaviors,” she explains. “This means that Earth analogs may not be reliable for interpreting some Martian sedimentary landscapes.”

“At low present-day pressures, Mars mud would boil and levitate if the surface temperature was warm, or freeze and flow more like lava if the temperature was cold,” adds study lead Jacob Adler, who began working on the project while a postdoctoral researcher in Rivera-Hernández’s PLANETAS Lab at Georgia Tech, and continued the study in his current role as an assistant research professor in Arizona State University's School of Earth and Space Exploration. 

The team also included Georgia Tech Ph.D. student and current PLANETAS Lab member Sharissa Thompson, along with researchers from the Open University and Czech Academy of Sciences.

“This study adds a critical layer of nuance to analogue research,” says Rivera-Hernández. “By comparing our lab results to real Martian landforms, we can better reconstruct Mars’ past climate — leading to increasingly successful research in the future.”

Making Martian mud

In order to recreate past conditions on the red planet, the team conducted over 70 experiments in a Mars simulation chamber, testing how flowing water-sediment mixtures would be affected by the varying pressures and temperatures throughout the planet’s history.

Thompson, who specializes in understanding these types of mixtures, played a key role in interpreting the results. “As part of my Ph.D. work at Georgia Tech, I uncover how and why flow shapes evolve as pressure changes, which helped us understand how these flows could have shifted with changing pressures on Mars over time,” she says. “I’m thrilled to have contributed to the innovative flow experiments this study conducted.”

The experiments revealed that at higher atmospheric pressures, water and mud would have similar flow physics (rheology) as on Earth, indicating that some of the oldest sedimentary features on the surface should appear similar to Earth environments. In these scenarios, surface conditions may also have been more habitable for life.

On the other hand, as Mars started to lose most of its atmosphere, the dominant physics in sediment flow experiments changed to freezing and boiling. The team found that at the lower pressures Mars has experienced after the Noachian, the rheology and deposit shapes (morphology) were not at all Earth-like.

“When we mapped out where on Mars, we would expect this different behavior, we found that this opposite behavior could happen at the same time at different locations on the planet,” Adler shares. “The small-scale climate variations across Mars’ topography are enough to see these opposing effects.”

Decoding Mars' past

The research suggests that studying the specific shapes of features like sediment flows, debris flows and mudflows could help scientists better estimate climate conditions. It also highlights how laboratory experiments are a critical part of planetary science activities, as they can help scientists better interpret remote sensing and modeling results.

"By finding matching morphologies of what we see on Mars and what we see in these lab experiments, we might be able to better time-stamp the paleoclimate record,” Adler explains.

"We’ve sent rover missions to Mars largely because we find compelling remote sensing evidence of deposits formed by water or mud that could indicate a habitable environment,” he adds. “We are often eager to compare what we find to Earth analogs, but these are not always suitable for comparison. This study shows there is still much we can learn about Mars by conducting experiments under Mars conditions.”

 

Funding: NASA

DOI: https://doi.org/10.1038/s43247-025-02879-w 

School of Physics Ph.D. student Alexander Cachine has been selected as a 2025 recipient of the prestigious Steve Jobs Archive (SJA) Fellowship for his work in solving modern medical challenges using ancient textile techniques. 

“This fellowship with the Archive is a fantastic opportunity for me as a physicist. There is an incredible community of creatives that I get to be a part of and draw inspiration from,” he says. “It’s also very validating that an organization with as much prestige as the SJA finds value in the work we’re doing here in the lab. I’m so grateful that people believe in me and the work that we’re doing.”

Cachine is one of just eight individuals selected this year from a nationwide pool. The one-year fellowship supports work at the intersection of technology and the liberal arts, and will provide essential support for his creative trajectory, including a stipend, mentoring, and a robust community of peers.

At Georgia Tech, Cachine is the lab manager and lead experimentalist for the Matsumoto Group where he works alongside his advisor, School of Physics Associate Professor Elisabetta Matsumoto. 

“As a physicist who studies craft, I often see that this is an overlooked area of research, especially in women’s health,” Cachine says. “I hope that beyond building a pathway to improved patient outcomes, my work this year will show people that crafting traditions are incredible technological feats — they are entire knowledge systems waiting to be explored.  There is so much we can learn from craft.”

Viral videos abound with humanoid robots performing amazing feats of acrobatics and dance but finding videos of a humanoid robot performing a common household task or traversing a new multi-terrain environment easily, and without human control, are much rarer. This is because training humanoid robots to perform these seemingly simple functions involves the need for simulation training data that lack the complex dynamics and degrees of freedom of motion that are inherent in humanoid robots. 

To achieve better training outcomes with faster deployment results, Fukang Liu and Feiyang Wu, graduate students under Professor Ye Zhao from the Woodruff School of Mechanical Engineering and faculty member of the Institute for Robotics and Intelligent Machines, have published a duo of papers in IEEE Robotics and Automation Letters. This is a collaborative work with three other IRIM affiliated faculties, Profs. Danfei Xu, Yue Chen, and Sehoon Ha, as well as Prof. Anqi Wu from School of Computational Science and Engineering.

To develop more reliable motion learning for humanoid robots and enable humanoid robots to perform complex whole-body movements in the real world, Fukang led a team and developed Opt2Skill, a hybrid robot learning framework that combines model-based trajectory optimization with reinforcement learning.  Their framework integrates dynamics and contacts into the trajectory planning process and generates high-quality, dynamically feasible datasets, which result in more reliable motion learning for humanoid robots and improved position tracking and task success rates. This approach shows a promising way to augment the performance and generalization of humanoid RL policies using dynamically feasible motion datasets. Incorporating torque data also improved motion stability and force tracking in contact-rich scenarios, demonstrating that torque information plays a key role in learning physically consistent and contact-rich humanoid behaviors.

While other datasets, such as inverse kinematics or human demonstrations, are valuable, they don’t always capture the dynamics needed for reliable whole-body humanoid control.” said by Fukang Liu. “With our Opt2Skill framework, we combine trajectory optimization with reinforcement learning to generate and leverage high-quality, dynamically feasible motion data. This integrated approach gives robots a richer and more physically grounded training process, enabling them to learn these complex tasks more reliably and safely for real-world deployment. - Fukang Liu

In another line of humanoid research, Feiyang established a one-stage training framework that allows humanoid robots to learn locomotion more efficiently and with greater environmental adaptability. Their framework, Learn-to-Teach (L2T), unlike traditional two-stage “teacher-student” approaches, which first train an expert in simulation and then retrain a limited-perception student, teaches both simultaneously, sharing knowledge and experiences in real time. The result of this two-way training is a 50% reduction in training data and time, while maintaining or surpassing state-of-the-art performance in humanoid locomotion. The lightweight policy learned through this process enables the lab’s humanoid robot to traverse more than a dozen real-world terrains—grass, gravel, sand, stairs, and slopes—without retraining or depth sensors.

By training an expert and a deployable controller together, we can turn rich simulation feedback into a lightweight policy that runs on real hardware, letting our humanoid adapt to uneven, unstructured terrain with far less data and hand-tuning than traditional methods. - Feiyang Wu

By the application of these training processes, the team hopes to speed the development of deployable humanoid robots for home use, manufacturing, defense, and search and rescue assistance in dangerous environments. These methods also support advances in embodied intelligence, enabling robots to learn richer, more context-aware behaviors.Additionally, the training data process can be applied to research to improve the functionality and adaptability of human assistive devices for medical and therapeutic uses.

As humanoid robots move from controlled labs into messy, unpredictable real-world environments, the key is developing embodied intelligence—the ability for robots to sense, adapt, and act through their physical bodies,” said Professor Ye Zhao. “The innovations from our students push us closer to robots that can learn robust skills, navigate diverse terrains, and ultimately operate safely and reliably alongside people. - Prof. Ye Zhao

Author - Christa M. Ernst

Citations

Liu F, Gu Z, Cai Y, Zhou Z, Jung H, Jang J, Zhao S, Ha S, Chen Y, Xu D, Zhao Y. Opt2skill: Imitating dynamically-feasible whole-body trajectories for versatile humanoid loco-manipulation. IEEE Robotics and Automation Letters. 2025 Oct 13.

Wu F, Nal X, Jang J, Zhu W, Gu Z, Wu A, Zhao Y. Learn to teach: Sample-efficient privileged learning for humanoid locomotion over real-world uneven terrain. IEEE Robotics and Automation Letters. 2025 Jul 23.
 

 

Research Communications Program Manager

 

Klaus Advance Computing Building 1120E | 266 Ferst Drive | Atlanta GA | 30332

A 30-year “snapshot study” of birds in the Pacific Northwest is showing their surprising resilience in the face of climate change. The project started when School of Biological Sciences Assistant Professor Benjamin Freeman found a study by Louise Waterhouse detailing birds in the mountains near Vancouver three decades ago. What followed was an ecological scavenger hunt: Freeman revisited each of the old field sites, navigating using his local knowledge and Waterhouse’s hand-drawn maps.

Freeman, who grew up in Seattle, mainly studies the ecology of tropical birds — but the discovery of Waterhouse’s paper made him curious about research closer to home. The results were surprising: over the last three decades, most of the bird populations in the region were stable and had been increasing in abundance at higher elevations.

The study, “Pacific Northwest birds have shifted their abundances upslope in response to 30 years of warming temperatures” was published in the journal Ecology this fall. In addition to lead author Freeman, the team also included Harold Eyster (The Nature Conservancy), Julian Heavyside (University of British Columbia), Daniel Yip (Canadian Wildlife Service), Monica Mather (British Columbia Ministry of Water, Lands and Resource Stewardship), and Waterhouse (British Columbia Ministry of Forests, Coast Area Research).

“It is great news that most birds in the region are resilient, and by doing this work, we can focus on the species that do need help, like the Canada Jay, which is struggling in this region,” Freeman says. “Studies like this help us focus resources and effort.”

Songbirds and snow

Conducting the fieldwork was a detective game, Freeman says. Each day, he would wake up at four in the morning to locate and visit the research areas — often navigating trails, open forest, and rough terrain on foot.

This area of the Pacific Northwest is punctuated with old-growth stands of trees — sections of forest that have never been logged or altered. “These areas feel like islands,” Freeman shares. “They feel ancient and untouched, but even in pristine habitats, birds are still responding to climate change.”

Most of the work was conducted during the birds’ breeding season, from late May into June. This is when the birds are most vocal, which is ideal for surveys, Freeman says. The downside? Even in June, there is often snow in the mountains. “I was out at dawn, hiking through snow in the freezing cold, wondering why I didn’t stay in bed,” he recalls. “But then I’d hear birds singing all around me and realize it was all worth it.”

Upward expansion — and resilience

By comparing the two “snapshots,” the team showed that while temperatures have increased over the last 30 years, most bird populations in the region haven’t declined — but they have become more abundant at higher elevations. “It’s encouraging,” Freeman says. “Thirty years of warming has led to changes, but for the most part, these bird populations are mostly stable or improving.”

One reason for this resilience could be the stability that old growth forests provide, and Freeman suggests that conserving wide swaths of mountain habitat might help birds thrive as they continue to adapt, while still supporting populations at lower elevations. The study also helps identify which bird species need additional support, like the Canada Jay — a gray and white bird known for following hikers in pursuit of dropped snacks.

It’s just one piece of Freeman’s larger research goal — he aims to do this type of snapshot research in many different places to identify general patterns, especially differences in temperate versus tropical environments.

“In the tropics, most bird species are vulnerable, with only a few resilient species. In the Pacific Northwest, we saw the opposite,” he says. “A pattern is emerging: temperate zones show more resilience, tropics more vulnerability.” 

Freeman is also conducting research with a group of students in Northern Georgia. “We predict that these Appalachian birds will be resilient as well,” he says, “but we need to study and understand what’s happening in nature — not just make predictions.”

 

DOI: https://doi.org/10.1002/ecy.70193

Funding: Packard Foundation

Cricket powder-based protein brownies. A visualization system for fencing blades. A personalized AI application for analyzing blood work. All I2P Showcase prototypes. See what Georgia Tech students have been developing this semester at the Fall 2025 Idea to Prototype (I2P) Showcase on Tuesday, Dec. 2, at 5 p.m. in the Marcus Nanotechnology Building. This year, attendees will have even more original inventions to view, with over 60 teams displaying prototypes. 

The event marks the culmination of the semester-long I2P course, where undergraduate students develop functional prototypes aimed at solving real-world problems. Prototypes this semester include a smart military drone, a gentler device for cervical cancer screening, a rotating espresso station, tools to keep AI safe, compact data centers, systems that simulate cyberattacks to help companies strengthen their defenses, and many more. 

The showcase is free and open to students, faculty, staff, and members of the local community. 

Winning teams will receive prizes and a “golden ticket” into CREATE-X’s Startup Launch, a summer accelerator that provides optional seed funding, accounting and legal service credits, mentorship, and more to help students turn their prototypes into viable startups.

This is a free event, and refreshments will be provided. Register for the Fall 2025 I2P Showcase today!

The College of Sciences has named Paul Sell as the new director of the Georgia Tech Observatory. Sell joined the Institute in Fall 2025 as a senior academic professional in the School of Physics. He also serves as advisor of the new B.S. in Astrophysics degree program.

“Paul Sell is a wonderful addition to our College of Sciences community,” says Susan Lozier, dean of the College of Sciences, Betsy Middleton and John Clark Sutherland Chair, and professor in the School of Earth and Atmospheric Sciences. “His leadership brings renewed energy to the Georgia Tech Observatory, and I look forward to seeing how he expands its impact across campus and in the broader community.”

Observing the cosmos from campus

The Georgia Tech Observatory was established nearly two decades ago at a time when the Institute’s astronomy and astrophysics research and teaching ecosystem was in its infancy. 

School of Physics Principal Academic Professional Emeritus Jim Sowell created the facility on the roof of the Howey Physics Building in 2007 and served as its director until his retirement in 2024. 

“The Observatory — and its numerous variety of telescopes — makes it possible for Georgia Tech students and Atlanta-area visitors to see with their own eyes some of the best, awe-inspiring celestial delights, including craters on the Moon, Jupiter’s Red Spot, Saturn’s rings, and many other objects,” says Sowell.

The Observatory’s primary instrument is a 20-inch diameter telescope by Officina Stellare. Known as the Georgia Tech’s Space Object Research Telescope (GT-SORT), this Raven-class space surveillance telescope is used by researchers in the Daniel Guggenheim School of Aerospace Engineering to monitor man-made spacecraft.

“What’s unique about the Georgia Tech Observatory is that it’s right on campus, offering a meaningful, hands-on experience to everyone,” explains Sell. “It can be readily integrated into experiential learning projects on campus all year round.”

Sell’s upper-level astronomy lab, which combines lectures with experiences at the Observatory, highlights the facility’s academic importance.

Yet, the Observatory’s impact extends beyond the classroom, thanks to free community events like “Public Nights at the Observatory,” which offer attendees the opportunity to explore the night sky. 

Held most months, weather permitting, this event features telescopes stationed outside the Howey Physics Building, allowing astronomy enthusiasts from Georgia Tech and beyond to view the Moon, Jupiter, Saturn, and other cosmic wonders. These gatherings typically draw more than 100 stargazers.

Specialized groups are also hosted at the Observatory. For example, the Georgia Tech Astronomy Club uses the facility during its weekly meetings.

“The Observatory is a haven where students can step outside for a moment and get lost in the stars,” says AJ Chadha, club president and fourth-year computer science major. “With one of the largest telescopes in Georgia, the on-campus 20-inch GT-SORT, we weave astronomy directly into student life.”

Under Sell’s leadership, the Observatory will continue to strengthen partnerships with student organizations, campus units, and community groups.

“I'm excited to explore additional ways we can use this resource for outreach and academic purposes that benefit both Georgia Tech and the Atlanta community,” Sell adds.

A passion for astronomy

Before joining Georgia Tech, Sell served as senior lecturer, astronomy undergraduate coordinator, and interim director of the teaching observatory at the University of Florida. 

His passion for astronomy began at an early age, sparked by a gift from his parents: an Orion refracting lens telescope.

“I remember taking out that telescope, even in freezing cold Ohio winters, simply because the observing conditions were better,” he recalls.

Sell nurtured his interest in astronomy through his university studies and extracurricular activities, which included working in planetaria as an undergraduate at the University of Toledo. He later obtained a Ph.D. in Astronomy from the University of Wisconsin-Madison.

“I am grateful for the opportunity to share my passion for astronomy, not only with our physics students but with the larger Georgia Tech community — through classroom lectures, student advising, and Observatory outreach,” Sell says.

In four years, National Aeronautics and Space Administration (NASA)’s Europa Clipper mission will arrive in Jupiter’s orbit to investigate whether the planet’s icy moon, Europa, could support life. In the interim, researchers like Sven Simon, a professor in the Schools of Earth and Atmospheric Sciences and Physics, are working to uncover critical information to support the rapid analysis of measurements from the mission.

Simon’s research team has been awarded $1.4 million through NASA’s Precursor Science Investigations for Europa (PSI-E) program. Their project is one of seven selected to provide essential insights that, according to the program announcement, “will maximize the science return during the radiation-limited lifetime of the Europa Clipper.” 

Simon also serves as the institutional lead co-investigator of a second $1.4 million project, led by researchers at the University of California, Berkeley, which seeks to decipher how Europa's atmosphere and ionosphere contribute to the magnetic field near the moon. This project was selected during the same call for proposals.

“The research award is a fantastic opportunity to contribute to a mission centered on Europa’s complex plasma and electromagnetic environment,” says Simon, referencing the Georgia-Tech led proposal. “Our project combines foundational plasma physics from our School of Physics and geophysical knowledge from our School of Earth and Atmospheric Sciences to understand how the magnetic field near Europa is affected by the plasma populating Jupiter’s environment.”

The research team includes Earth and Atmospheric Sciences Ph.D. students Ariel Tello Fallau and Charles Michael Haynes. Neil Baker, a Ph.D. student in the School of Physics, is contributing to the Berkeley-led PSI-E project that also includes Georgia Tech alumnus Lucas Liuzzo (Ph.D. EAS 2018), now an assistant research scientist at the University of California, Berkeley’s Space Sciences Laboratory. 

Groundwork for discovery

With a radius of only 1,560 kilometers, Europa is one of Jupiter’s four largest moons, known as the Galilean moons, discovered by Italian astronomer Galileo Galilei in the 1600s.

More than two decades ago, data from NASA’s Galileo mission — specifically magnetic field measurements collected far above Europa’s surface — pointed to the existence of a global subsurface ocean. This ocean, which may contain more liquid water than all of the Earth’s oceans combined, has made Europa a prime candidate in the search for life beyond Planet Earth.

“Finding evidence of a saltwater ocean lurking beneath Europa’s surface was a serendipitous discovery during the Galileo mission,” Simon explains. “NASA’s Europa Clipper mission picks up where the Galileo mission left off.” 

Launched in October 2024, the Europa Clipper space probe is expected to reach Jupiter’s orbit in 2030. That gives Simon and his team only a few years to complete their analysis. 

“Our research is doing the preparatory work to determine what and where we can measure further magnetic evidence of the ocean beneath Europa’s surface,” says Simon. “When the spacecraft arrives, we will find out whether our predictions are correct.”

Using advanced computer simulations, the team aims to better understand the magnetic fields near Europa. Part of these fields is generated by electric currents in the moon’s saltwater ocean; the other part is created by fast-moving flows of plasma — ionized matter that fills much of space — as it interacts with Europa’s atmosphere and surface.  

“Our project focuses on how the magnetic fields from plasma flow patterns compete with the magnetic signal from Europa’s ocean,” says Simon. “We want to determine which part of the magnetic field near Europa originates from the ocean and which part is a disruptive effect from the plasma.”

Deciphering these magnetic signals will provide essential context for interpreting Europa Clipper’s measurements, helping to not only confirm the ocean’s existence but also reveal details about its structure.