Renewable energy
Renewable energy

Renewable energy

Alternative energy Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Energy machine learning Materials science and engineering MIT Schwarzman College of Computing Nuclear science and engineering Renewable energy Research School of Engineering

AI method radically speeds predictions of materials’ thermal properties

The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.

3-D printing Algorithms Artificial Intelligence Automation computer-vision Imaging machine learning Materials science and engineering Mechanical engineering Renewable energy Research School of Engineering Solar Sustainability

New computer vision method helps speed up screening of electronic materials

The technique characterizes a material’s electronic properties 85 times faster than conventional methods.

Artificial Intelligence Business and management Cleaner industry Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) cybersecurity Design Electrical Engineering & Computer Science (eecs) Environmental Solutions Initiative Innovation and Entrepreneurship (I&E) machine learning Manufacturing MIT Morningside Academy for Design MIT Sloan School of Management Renewable energy Research School of Architecture and Planning School of Engineering Startups Supply chains

HPI-MIT design research collaboration creates powerful teams

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.

Alternative energy Artificial Intelligence Climate change Department of Energy (DoE) DMSE Energy Faculty Funding Geology Grants Mechanical engineering Renewable energy Robotics School of Engineering Sustainability

Extracting hydrogen from rocks

Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.

Alternative energy Artificial Intelligence Collaboration Data Department of Energy (DoE) Diversity and inclusion Energy Funding Fusion machine learning Nuclear science and engineering open source Physics Plasma Science and Fusion Center Renewable energy Research School of Engineering School of Science Software Women in STEM

Fast-tracking fusion energy’s arrival with AI and accessibility

MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.