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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...
AI system learns from many types of scientific information and runs experiments to discover new materials
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
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 Maritime Consortium sets sail
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more. The consortium brings together MIT collaborators from across campus, including the Center for Ocean Engineering, which is housed in the Department of Mechanical Engineering; IDSS, which is housed in the MIT Schwarzman College of Computing; the departments of Nuclear Science and Engineering and Civil and Environmental Engineering; MIT Sea Grant; and others, with a national and an international community of industry experts.
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...
Nanoscale transistors could enable more efficient electronics
Prof Ju Li along with a research team at MIT has developed a new kind of nanoscale transistor using ultrathin semiconductor materials which operate more efficiently than silicon-based devices
More durable metals for fusion power reactors
In the race to achieve carbon-free commercial fusion energy, one stumbling block has been that key structural metals inside proposed fusion reactors can fail in just a few months. MIT engineers have demonstrated that adding nanoparticles of certain ceramics to the metals can protect them from damage and significantly extend their lifetime. Above: Professor Ju Li (right) and postdoc So Yeon Kim examine samples of the composite they have fabricated for their demonstrations. Credit: Gretchen Ertl
AI method radically speeds predictions of materials’ thermal properties
The approach, developed by NSE’s Mingda Li and a team of researchers from MIT and elsewhere, could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
MIT engineers develop a way to determine how the surfaces of materials behave
Prof Bilge Yildiz and colleagues devised a machine-learning-based method to investigate how materials behave at their surfaces. The approach could help in developing compounds or alloys for use as catalysts, semiconductors, or battery components.
Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
The inaugural MIT-Pillar AI Collective Fellows are (from left to right) Alexander Andonian, Daniel Magley, and Madhumitha Ravichandra.