Jul. 11, 2025
Schematic showing nanoparticles in the microfluidic chamber of liquid-phase transmission electron microscopy
Vida Jamali, assistant professor in Georgia Tech's School of Chemical and Biomolecular Engineering
Nanoparticles – the tiniest building blocks of our world – are constantly in motion, bouncing, shifting, and drifting in unpredictable paths shaped by invisible forces and random environmental fluctuations.
Better understanding their movements is key to developing better medicines, materials, and sensors. But observing and interpreting their motion at the atomic scale has presented scientists with major challenges.
However, researchers in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE) have developed an artificial intelligence (AI) model that learns the underlying physics governing those movements.
The team’s research, published in Nature Communications, enables scientists to not only analyze, but also generate realistic nanoparticle motion trajectories that are indistinguishable from real experiments, based on thousands of experimental recordings.
A Clearer Window into the Nanoworld
Conventional microscopes, even extremely powerful ones, struggle to observe moving nanoparticles in fluids. And traditional physics-based models, such as Brownian motion, often fail to fully capture the complexity of unpredictable nanoparticle movements, which can be influenced by factors such as viscoelastic fluids, energy barriers, or surface interactions.
To overcome these obstacles, the researchers developed a deep generative model (called LEONARDO) that can analyze and simulate the motion of nanoparticles captured by liquid-phase transmission electron microscopy (LPTEM), allowing scientists to better understand nanoscale interactions invisible to the naked eye. Unlike traditional imaging, LPTEM can observe particles as they move naturally within a microfluidic chamber, capturing motion down to the nanometer and millisecond.
“LEONARDO allows us to move beyond observation to simulation,” said Vida Jamali, assistant professor and Daniel B. Mowrey Faculty Fellow in ChBE@GT. “We can now generate high-fidelity models of nanoscale motion that reflect the actual physical forces at play. LEONARDO helps us not only see what is happening at the nanoscale but also understand why.”
To train and test LEONARDO, the researchers used a model system of gold nanorods diffusing in water. They collected more than 38,000 short trajectories under various experimental conditions, including different particle sizes, frame rates, and electron beam settings. This diversity allowed the model to generalize across a broad range of behaviors and conditions.
The Power of LEONARDO’s Generative AI
What distinguishes LEONARDO is its ability to learn from experimental data while being guided by physical principles, said study lead author Zain Shabeeb, a PhD student in ChBE@GT. LEONARDO uses a specialized “loss function” based on known laws of physics to ensure that its predictions remain grounded in reality, even when the observed behavior is highly complex or random.
“Many machine learning models are like black boxes in that they make predictions, but we don’t always know why,” Shabeeb said. “With LEONARDO, we integrated physical laws directly into the learning process so that the model’s outputs remain interpretable and physically meaningful.”
LEONARDO uses a transformer-based architecture, which is the same kind of model behind many modern language AI applications. Like how a language model learns grammar and syntax, LEONARDO learns the "grammar" of nanoparticle movement, identifying hidden reasons for the ways nanoparticles interact with their environment.
Future Impact
By simulating vast libraries of possible nanoparticle motions, LEONARDO could help train AI systems that automatically control and adjust electron microscopes for optimal imaging, paving the way for “smart” microscopes that adapt in real time, the researchers said.
“Understanding nanoscale motion is of growing importance to many fields, including drug delivery, nanomedicine, polymer science, and quantum technologies,” Jamali said. “By making it easier to interpret particle behavior, LEONARDO could help scientists design better materials, improve targeted therapies, and uncover new fundamental insights into how matter behaves at small scales."
CITATION: Zain Shabeeb , Naisargi Goyal, Pagnaa Attah Nantogmah, and Vida Jamali, “Learning the diffusion of nanoparticles in liquid phase TEM via physics-informed generative AI,” Nature Communications, 2025.
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Brad Dixon, braddixon@gatech.edu
Jul. 11, 2025
Right now, about 70 million miles away, a Ramblin’ Wreck from Georgia Tech streaks through the cosmos. It’s a briefcase-sized spacecraft called Lunar Flashlight that was assembled in a Georgia Tech Research Institute (GTRI) cleanroom in 2021, then launched aboard a SpaceX rocket in 2022.
The plan was to send Lunar Flashlight to the moon, where the spacecraft would shoot lasers at its south pole in a search for frozen water. Mission control for the flight was on Georgia Tech’s campus, where students in the Daniel Guggenheim School of Aerospace Engineering (AE) sat in the figurative driver’s seat. They worked for several months in 2023 to coax the craft toward its intended orbit in coordination with NASA’s Jet Propulsion Lab (JPL).
A faulty propulsion system kept the CubeSat from reaching its goal. Disappointing, to be sure, but it opened a new series of opportunities for the student controllers. When it was clear Lunar Flashlight wouldn’t reach the moon and instead settle into an orbit of the sun, JPL turned over ownership to Georgia Tech. It’s now the only higher education institution that has controlled an interplanetary spacecraft.
Lunar Flashlight’s initial orbit, planned destination, and current whereabouts mirrors much of the College of Engineering’s research in space technology. Some faculty are focused on projects in low earth orbit (LEO). Others have an eye on the moon. A third group is looking well beyond our small area of the solar system.
No matter the distance, though, each of these Georgia Tech engineers is working toward a new era of exploration and scientific discovery.
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Jason Maderer
College of Engineering
Jul. 11, 2025
A study from Georgia Tech’s School of Chemical and Biomolecular Engineering introduces LEONARDO, a deep generative AI model that reveals the hidden dynamics of nanoparticle motion in liquid environments. By analyzing over 38,000 experimental trajectories captured through liquid-phase transmission electron microscopy (LPTEM), LEONARDO not only interprets but also generates realistic simulations of nanoscale movement. This innovation marks a major leap in understanding the physical forces at play in nanotechnology, with promising implications for medicine, materials science, and sensor development.
Jul. 10, 2025
Professor Yongsheng Chen (left) and Ph.D. student Ahmed Yunus work with a wastewater reactor system in the lab. (Photo: Candler Hobbs)
A charcoal-like material made from leaves and branches that collect on forest floors could be a cheap, sustainable way to keep pollution from washing off roadways and into Georgia’s lakes and rivers.
Engineers at Georgia Tech and Georgia Southern University have found that this biological charcoal, or biochar, can be mixed with soil and used along roadways to catch grimy rainwater and filter it naturally before it pollutes surface water.
Their tests found the biochar effectively cleans contaminants from the rainwater and works just as well in the sandy soils of the coastal plain as in the clays of north Georgia. Their biochar-soil mixture can be easily substituted for expensive material mined from the earth that’s typically used on roads.
Though they focused on Georgia, the researchers said the findings could easily apply across the U.S., providing a simple, natural way to keep road pollutants out of water sources. They published their approach in the Journal of Environmental Management.
Learn about their system on the College of Engineering website.
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Joshua Stewart
College of Engineering
Jul. 10, 2025
Giga, a global initiative focused on expanding internet connectivity to schools, launched its new tech and innovation event series “Giga Talks” on June 19 with a keynote address from Pascal Van Hentenryck, a leading artificial intelligence expert from the Georgia Institute of Technology.
Van Hentenryck serves as the A. Russell Chandler III Chair and Professor in Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering. He is also the director of Tech AI, Georgia Tech’s new strategic hub for artificial intelligence, and the U.S. National Science Foundation AI Institute for Advances in Optimization (AI4OPT), which operates under Tech AI’s umbrella.
In his talk, “AI for Social Good,” Van Hentenryck showcased how AI technologies can drive impact across key sectors—including mobility, education, healthcare, disaster response, and e-commerce. Drawing from ongoing research and real-world deployments, he emphasized the critical role of human-centered design and interdisciplinary collaboration in developing AI that benefits society at large.
“AI has tremendous potential to serve the public good when guided by ethics, equity, and purpose-driven innovation,” said Van Hentenryck. “At Georgia Tech, our work aims to harness this potential to create meaningful change in people’s lives.”
The event marked the debut of Giga Talks, a new speaker series designed to convene global thought leaders, engineers, and policymakers around timely issues in technology and innovation. The initiative supports Giga’s broader mission to connect every school in the world to the internet and unlock digital opportunities for children everywhere.
A video recording of Van Hentenryck’s talk is available on here.
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Breon Martin
AI Marketing Communications Manager
Jul. 10, 2025
Pascal Van Hentenryck, the A. Russell Chandler III Chair and professor at Georgia Tech, and director of the U.S. National Science Foundation AI Institute for Advances in Optimization (AI4OPT) and Tech AI, delivered a keynote address at the 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), hosted by the Norwegian University of Science and Technology (NTNU).
Combining Technologies for Real-World Results
Van Hentenryck introduced a series of foundational approaches—such as primal and dual optimization proxies, predict-then-optimize strategies, self-supervised learning, and deep multi-stage policies—that enable AI systems to operate effectively and responsibly in high-stakes, real-time environments. These frameworks demonstrate the power of integrating AI with domain-specific reasoning to achieve results unattainable by either field alone.
“This is not just about building smarter algorithms,” Van Hentenryck said. “It’s about designing AI that can adapt, learn, and optimize under uncertainty—across supply chains, energy systems, and manufacturing networks.”
Grounded in Real-World Impact
The keynote aligned directly with the MIM 2025 focus on logistics and production systems. Drawing from recent work in supply chain optimization and smart manufacturing, Van Hentenryck emphasized how AI4OPT’s research is already generating measurable impact in industry.
MIM 2025, organized by NTNU’s Production Management Research Group and supported by MHI and CICMHE, featured more than 40 experts delivering keynotes, presenting research, and leading breakout sessions across topics in modeling, control, and decision-making in manufacturing and logistics.
About Tech AI
Tech AI is Georgia Tech’s strategic initiative to lead in the development and application of artificial intelligence across disciplines and industries. Serving as a unifying platform for AI research, education, and collaboration, Tech AI connects researchers, industry, and government partners to drive responsible innovation in areas such as healthcare, mobility, energy, sustainability, and education. Director of Tech AI, Pascal Van Hentenryck helps guide the institute’s research vision and strategic alignment across Georgia Tech’s AI portfolio. Learn more at ai.gatech.edu.
About AI4OPT
The AI Institute for Advances in Optimization (AI4OPT) is one of the National Science Foundation’s flagship AI Institutes and is led by Georgia Tech. The institute brings together experts in artificial intelligence, optimization, and control to tackle grand challenges in supply chains, transportation, and energy systems.
AI4OPT is one of several NSF-funded AI institutes housed within Tech AI’s collaborative framework, enabling cross-disciplinary research with real-world outcomes. Learn more at ai4opt.org.
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Breon Martin
AI Marketing Communications Manager
Jul. 10, 2025
In a bold step to advance AI across Latin America, Georgia Tech is helping Panama develop its first National Artificial Intelligence Strategy—leveraging world-class research, global collaboration, and human-centered design.
In partnership with Panama’s National Secretariat of Science, Technology and Innovation (Secretaría Nacional de Ciencia, Tecnología e Innovación, or SENACYT) and Georgia Tech Panama, Tech AI the AI Hub at Georgia Tech co-led a series of multisectoral workshops in Panama City on July 7–8. The initiative convened voices from government, academia, civil society, and the private sector to co-create an ethical, inclusive and forward-looking roadmap for AI in Panama.
We’re moving forward with one of the most exciting and important processes for Panama’s future: the development of our National Artificial Intelligence Strategy,” said Franklin A. Morales, Head of International Technical Cooperation Panama's Secretariat for Science, Technology and Innovation at SENACY, in a public statement. “Georgia Tech’s expertise is helping us shape a strategy that’s both ambitious and grounded in global best practices.
The workshops were facilitated by Pascal Van Hentenryck, Director of Tech AI, the AI Hub at Georgia Tech and the NSF-funded AI Institute for Advances in Optimization (AI4OPT), and Tim Brown, Academic Program Director for AI at Georgia Tech Professional Education. Through interactive working groups, participants assessed Panama’s AI landscape, identified key challenges and opportunities, and helped lay the foundation for long-term national impact.
In a public statement, Van Hentenryck noted:
We had the honor to spend three days in Panama working on their National AI Strategy with SENACYT, Georgia Tech Panama, and so many stakeholders who contributed their expertise, talent, and time. More to come, obviously. And thank you to the teams at SENACYT, Georgia Tech Panama, and Tech AI at Georgia Tech for an amazing organization.
SENACYT’s vision for Panama’s AI future emphasizes the role of technology in advancing opportunity and improving lives. “The future is not something we wait for—it’s something we build together,” Morales added in a separate public statement.
Additional contributions from leaders across Panama’s innovation ecosystem emphasized the importance of developing homegrown talent, applying AI in high-impact sectors like health and education, and serving as a regional testbed for responsible AI solutions.
“This goes beyond technology. It’s about how we use artificial intelligence to improve people’s lives, make our systems more efficient, and elevate Panamanian talent,” shared a representative from Escala Latam. “We have a big opportunity: to train local talent, to scale responsible solutions, and to build, from Panama, solutions with global impact.”
The initiative reflects Georgia Tech’s broader commitment to advancing AI as a public good.
Through Tech AI and partnerships like this one, the Institute helps governments, industries, and communities around the world design AI strategies that are technically sound, globally relevant, and locally empowering.
“Artificial intelligence has been identified by SENACYT as a critical and emerging technology that requires urgent action to maximize its impact on the country’s economy, innovation capacity, and competitiveness,” said Eduardo Ortega Barría, National Secretary of Science, Technology and Innovation. “That’s why the National AI Strategy we are developing prioritizes broad and participatory reflection—this is a crucial step toward building a shared vision.”
As nations worldwide navigate the rise of artificial intelligence, Georgia Tech stands at the forefront, helping build AI strategies that are not only technically advanced but fundamentally human-centered.
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The public is also invited to shape the strategy. SENACYT launched a National Artificial Intelligence Survey—available through July 31 via www.SENACYT.gob.pa; SURVEY and SENACYT’s social media—to collect ideas, questions, and concerns from residents across Panama. (The survey includes 16 questions and is open to all residents of Panama—both nationals and foreigners. Its purpose is to gather perceptions, concerns, and opportunities to be considered in the national strategy. The survey will remain open until July 31, 2025).
About Tech AI
Tech AI is Georgia Tech’s interdisciplinary AI research and policy hub, bringing together expertise in optimization, robotics, ethics, education, and public-sector applications. With a mission to advance AI for social good, Tech AI helps partners across the globe design and deploy trustworthy, scalable AI systems.
About SENACYT
The National Secretariat of Science, Technology and Innovation (SENACYT) is an autonomous institution whose mission is to make science and technology tools for the sustainable development of Panama. Our projects and programs focus on advancing the country’s scientific and technological capabilities to close inequality gaps and promote equitable development that improves quality of life for all Panamanians.
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Breon Martin
AI Marketing Communications Manager
Jul. 10, 2025
Researchers at Georgia Tech have developed a new artificial intelligence tool that dramatically improves how companies plan their supply chains, cutting down the time and cost it takes to generate complex production and inventory schedules.
The tool, known as PROPEL, combines machine learning with optimization techniques to help manufacturers make better decisions in less time. It was created by researchers at the NSF AI Institute for Advances in Optimization, or AI4OPT, based at Georgia Tech under Tech AI (the AI Hub at Georgia Tech).
The technology is already being tested on real-world supply chain data provided by Kinaxis, a Canada-based company that supplies planning software to global manufacturers in industries ranging from automotive to consumer goods.
Vahid Eghbal Akhlaghi, senior research scientist at Kinaxis and former postdoctoral fellow at AI4OPT and the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, said, “Our industry partner has been instrumental in shaping PROPEL’s capabilities. By validating the approach with real operational data, we ensured it addresses true bottlenecks in supply chain planning.”
"PROPEL represents a leap forward in how we tackle massive, complex planning problems," said Pascal Van Hentenryck, lead researcher, the director of Tech AI and the NSF AI4OPT Institute, and the A. Russell Chandler III Chair and Professor at Georgia Tech with appointments in the colleges of engineering and computing. "By combining supervised and reinforcement learning, we can make near-optimal industrial-scale decisions, an order of magnitude faster."
Traditional supply chain planning problems are typically solved using mathematical models that require immense computing power—often too much to meet real-time business needs. PROPEL, short for Predict-Relax-Optimize using LEarning, reduces this burden by teaching the AI model to first eliminate irrelevant decisions and then fine-tune the solution to meet quality standards.
Reza Zandehshahvar, one of the paper’s co-authors and postdoctoral fellow with the NSF AI4OPT and the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, said the breakthrough lies not just in the AI algorithms but in how they're trained and deployed at scale.
“Many AI models struggle when applied to problems with millions of variables. PROPEL was built from the ground up to handle industrial complexity, not just academic examples,” Zandehshahvar said. “We’re seeing real improvements in both solution speed and quality.”
In trials using Kinaxis’ historical industrial data, PROPEL achieved an 88% reduction in the time needed to find a high-quality plan and improved solution accuracy by more than 60% compared to conventional methods.
While many AI methods in supply chain rely on simulated data or simplified models, PROPEL’s performance has been validated using real-world scenarios, ensuring its reliability in high-stakes operational settings.
The Georgia Tech team says PROPEL could benefit industries that manage large, multi-tiered production networks, including pharmaceuticals, electronics, and heavy manufacturing. The researchers are now exploring partnerships with additional companies to deploy PROPEL in live environments.
Access the abstract on arXiv.
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Breon Martin
AI Marketing Communications Manager
Jul. 10, 2025
Georgia Tech has been recognized in a new IDC white paper, A Blueprint for AI‑Ready Campuses: Strategies from the Frontlines of Higher Education, as a national leader in deploying artificial intelligence across higher education. The report, published in partnership with Microsoft, highlights Georgia Tech’s comprehensive approach to integrating AI into teaching, research, and campus operations.
The Institute is one of only four U.S. universities featured in the report, joining Auburn University, Babson College, and the University of North Carolina at Chapel Hill.
“AI isn’t a single system or application—it’s a new foundation for how we work, teach, and learn,” said Leo Howell, Georgia Tech’s chief information security officer. “Our goal is to expose people to as many tools as possible, creating an ‘AI for All’ strategy that ensures everyone at Georgia Tech can leverage AI to enhance their work and learning experiences.”
Georgia Tech’s approach centers on a “persona-based model,” tailoring AI tools and resources to meet the needs of students, faculty, researchers, and administrators. That personalized approach, according to the report, is what makes Georgia Tech’s efforts both scalable and sustainable.
The white paper also emphasizes the importance of industry partnerships in Georgia Tech’s strategy. Through collaborations with Microsoft, OpenAI, and NVIDIA, the Institute is deploying advanced AI technologies while preparing students for the demands of an AI-driven workforce.
Georgia Tech’s success lies in its flexibility, the report notes. The Institute tests AI tools through targeted pilots, gathers user feedback, and rapidly iterates to improve outcomes. This adaptive mindset is recommended as a best practice for other institutions navigating their own AI transformation.
The full IDC white paper is available for download here.
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Breon Martin
AI Marketing Communications Manager
Jul. 09, 2025
Wildfires have spread across the planet for millennia, but they are increasing as the climate warms. Decimated forests, depleted crops, and destroyed buildings are the hallmark of wildfire devastation. Another is the effect on air quality and even the entire climate system. Researchers at Georgia Tech offer solutions for not only surviving — but also benefiting from — fire.