Energy
Energy

Energy

Artificial Intelligence Computer science and technology DMSE Electrical engineering and computer science (EECS) Electronics Energy machine learning Materials science and engineering Microsystems Technology Laboratories MIT Schwarzman College of Computing MIT.nano Nanoscience and nanotechnology Nuclear science and engineering Research School of Engineering

Nanoscale transistors could enable more efficient electronics

Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.

Artificial Intelligence DMSE Energy machine learning Materials science and engineering Research School of Engineering Sustainability

Proton-conducting materials could enable new green energy technologies

Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.

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.

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.

Artificial Intelligence Climate Computer modeling Electrical Engineering & Computer Science (eecs) Energy Funding Grants Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI for smart grid modeling

MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.

Artificial Intelligence Cleaner industry Climate change Contests and academic competitions Energy Hackathon Innovation and Entrepreneurship (I&E) Students Sustainability

AI meets climate: MIT Energy and Climate Hack 2023

The Energy and Climate Hack presented opportunities for students and companies to collaborate and develop innovative solutions.

Artificial Intelligence Biotechnology Cambridge, Boston and region Community Energy Industry Kendall Square Special events and guest speakers Sustainability Technology and society

Celebrating Kendall Square’s past and shaping its future

The 15th Kendall Square Association annual meeting explored new and old aspects of the neighborhood.

Artificial Intelligence Cleaner industry Computer science and technology computer-vision Energy Lincoln Laboratory machine learning Sustainability

New tools are available to help reduce the energy that AI models devour

Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.

Artificial Intelligence Building Civil and environmental engineering Cleaner industry Climate change Concrete Construction Design Emissions Energy Environment Graduate, postdoctoral machine learning Pollution Profile School of Engineering Students Sustainability

Jackson Jewett wants to design buildings that use less concrete

The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.

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.