US researchers have created a machine-learning-guided method to design better electrolytes for sodium-metal batteries. The Massachusetts Institute of Technology (MIT) team’s work could help make this ...

As machine learning and generative AI reshape the world, MIT’s Schwarzman College of Computing is integrating these and other advanced computing technologies into classrooms and labs across campus.

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will dissolve in an organic solvent—a key step in the synthesis of nearly ...

As the climate crisis intensifies, AI is emerging as a tool for climate action, including modeling, prediction and optimization. Machine learning models can provide environmental data insights, ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...