Nuclear power and reactors
Nuclear power and reactors

Nuclear power and reactors

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Artificial Intelligence Computer modeling Energy machine learning Nuclear power and reactors Nuclear science and engineering Nuclear security and policy Research School of Engineering

Model predicts long-term effects of nuclear waste on underground disposal systems

The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.

Artificial Intelligence Cleaner industry Climate change Electric grid Energy Fusion Government Infrastructure MIT Energy Initiative National Institutes of Health (NIH) Nuclear power and reactors politics Renewable energy Special events and guest speakers Sustainability Sustainable computing

Taking the “training wheels” off clean energy

At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Data Electricity Emissions Energy MIT Energy Initiative Nuclear power and reactors Renewable energy School of Engineering Sustainability Sustainable computing Technology and policy Technology and society

The multifaceted challenge of powering AI

Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

Artificial Intelligence Energy Faculty Heat machine learning Nuclear power and reactors Nuclear science and engineering Profile School of Engineering Sustainability

Unlocking the hidden power of boiling — for energy, space, and beyond

Associate Professor Matteo Bucci’s research sheds new light on an ancient process, to improve the efficiency of heat transfer in many industrial systems.

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.