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Modeling and Simulation

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Mingda Li named 2025 American Physical Society Fellow
Mingda Li, an Associate Professor of Nuclear Science and Engineering, has been named a 2025 fellow of the American Physical Society (APS). Nominated by the Topical Group on Data Science (GDS), Li was cited, “[f]or pioneering the integration of artificial intelligence with...
New tool makes generative AI models more likely to create breakthrough materials
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
MIT’s work with Idaho National Laboratory advances America’s nuclear industry
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
The World at MIT: Ericmoore Jossou
Ericmoore Jossou tells his students he doesn’t see his research as a job, but “as a calling. When I get up every day, solving these problems is always what’s on my mind.”
Theory-guided strategy expands the scope of measurable quantum interactions
A new study by Mingda Li and his team finds an oft-ignored effect can be used to probe an important property of semiconductors.
Model predicts long-term effects of nuclear waste on underground disposal systems
The new study by Haruko Wainwright and researchers at Lawrence Berkeley National Lab and the University of Orléans suggests modeling could be used to validate the safety of nuclear disposal sites.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
For clean ammonia, MIT engineers propose going underground
New computational chemistry techniques accelerate the prediction of molecules and materials
A multi-task machine learning approach is developed to predict the electronic properties of molecules, as demonstrated in the computational workflow illustrated here. Back in the old days, the really old days, the task of designing materials was laborious. Investigators, over the course...
Researching high-fidelity methods to make small modular reactors more cost-effective
When Youyeon Choi was in high school, she discovered she really liked “thinking in geometry.” The shapes, the dimensions…she was into all of it. Today, geometry plays a prominent role in her doctoral work under the guidance of Professor Koroush Shirvan, as...