Making clean energy investments more successful
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making.
Resurrecting an MIT “learning by doing” tradition: NEET scholars install solar-powered charging station
The project was designed and built with novel “bio-composite” materials developed by the student team.
When companies “go green,” air quality impacts can vary dramatically
Cutting air travel and purchasing renewable energy can lead to different effects on overall air quality, even while achieving the same CO2 reduction, new research shows.
What’s the best way to expand the US electricity grid?
A study by MIT researchers illuminates choices about reliability, cost, and emissions.
How artificial intelligence can help achieve a clean energy future
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
Industry leaders agree collaboration is key to advancing critical technologies.
Introducing the MIT-GE Vernova Climate and Energy Alliance
Five-year collaboration between MIT and GE Vernova aims to accelerate the energy transition and scale new innovations.
New lightweight polymer film can prevent corrosion
Because it’s nearly impermeable to gases, the polymer coating developed by MIT engineers could be used to protect solar panels, machinery, infrastructure, and more.
Burning things to make things
Sili Deng, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT, is driving research into sustainable and efficient combustion technologies.
Solar energy startup Active Surfaces wins inaugural PITCH.nano competition
Twelve START.nano companies competed for the grand prize of nanoBucks to be used at MIT.nano’s facilities.
Fighting for the health of the planet with AI
Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.
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.
Palladium filters could enable cheaper, more efficient generation of hydrogen fuel
The novel design allows the membranes to withstand high temperatures when separating hydrogen from gas mixtures.
MIT’s work with Idaho National Laboratory advances America’s nuclear industry
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
New method could monitor corrosion and cracking in a nuclear reactor
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.