Department of Energy (DoE)
Department of Energy (DoE)

Department of Energy (DoE)

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Programming Research

User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Drug development Drug discovery Electrical engineering and computer science (EECS) IDSS Jameel Clinic machine learning Mathematics Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Department of Energy (DoE) DMSE Energy Energy storage Faculty Fusion Government MIT Energy Initiative Nuclear power and reactors Policy Renewable energy School of Architecture and Planning School of Engineering Special events and guest speakers Startups Students Sustainability Urban studies and planning

Ensuring a durable transition

Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.

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.

Algorithms Artificial Intelligence Bioinspiration Civil and environmental engineering Computer science and technology Department of Energy (DoE) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Institutes of Health (NIH) Proteins Research School of Engineering

AI system can generate novel proteins that meet structural design targets

These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.