A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

MIT researchers show a promising plan for using clean-burning hydrogen in place of the diesel fuel now used in most freight-transport trucks.

The findings should help scientists refine predictions of future sea-level rise.

Collaborative scholarship and research will draw on conservation, design, and technology.

The results suggest that climate may influence seismic activity.

Jonathan Bessette and Akash Ball have been named 2024-25 J-WAFS Fellows for water treatment technologies.

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.

Chosen from 16 finalist teams, the MIT-led projects will investigate quantum topological materials and sustainable microchip production.

The grants fund studies of green hydrogen production, fetal health-sensing fabric, basalt architecture, and shark-based ocean monitoring.