MIT J-WAFS announces 2022 seed grant recipients

The grants total over $1 million in support of research that addresses issues in the water and food sectors.

Carolyn Blais | Abdul Latif Jameel World Water and Food Security Lab • mit
May 20, 2022 ~10 min

Team creates map for production of eco-friendly metals

New understanding of metal electrolysis could help optimize production of metals like lithium and iron.

Elizabeth A. Thomson | Materials Research Laboratory • mit
May 9, 2022 ~6 min


Absent legislative victory, the president can still meet US climate goals

Study finds activating a Clean Air Act provision could deliver major climate, health, and economic benefits.

Mark Dwortzan | MIT Joint Program on the Science and Policy of Global Change • mit
May 3, 2022 ~5 min

Machine learning, harnessed to extreme computing, aids fusion energy development

Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.

Martin Greenwald | Plasma Science and Fusion Center • mit
April 27, 2022 ~7 min

What choices does the world need to make to keep global warming below 2 C?

New study reveals multiple pathways for a successful energy transition by 2050.

Mark Dwortzan | MIT Joint Program on the Science and Policy of Global Change • mit
April 22, 2022 ~5 min

New England renewables + Canadian hydropower

Power flowing both ways across the border offers a pathway to clean electricity in 2050.

Nancy W. Stauffer | MIT Energy Initiative • mit
April 8, 2022 ~16 min

Ocean vital signs

MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.

EAPS • mit
April 5, 2022 ~5 min

Robots dress humans without the full picture

MIT researchers design a robot that has a trick or two up the sleeve.

Steve Nadis | MIT CSAIL • mit
April 5, 2022 ~7 min


Generating new molecules with graph grammar

An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.

Lauren Hinkel | MIT-IBM Watson AI Lab • mit
April 1, 2022 ~7 min

Seeing an elusive magnetic effect through the lens of machine learning

An MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation.

Steve Nadis | Department of Nuclear Science and Engineering • mit
March 24, 2022 ~8 min

/

18