<span class="vcard">Steve Nadis | Department of Nuclear Science and Engineering</span>
Steve Nadis | Department of Nuclear Science and Engineering
Artificial Intelligence Batteries Computer modeling DMSE Electric vehicles Energy storage Lithium-ion Materials science and engineering MIT.nano National Science Foundation (NSF) Nuclear science and engineering Renewable energy Research School of Engineering Transportation

Solving the solvent problem

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

Artificial Intelligence Computer modeling Energy Faculty machine learning Nuclear power and reactors Nuclear science and engineering Profile Renewable energy School of Engineering Sustainability

Working to advance the nuclear renaissance

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

Artificial Intelligence Computer science and technology DMSE machine learning Materials science and engineering Networks Nuclear science and engineering Quantum mechanics Research School of Engineering Semiconductors

New computational chemistry techniques accelerate the prediction of molecules and materials

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.