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.
Secretary of Energy Chris Wright ’85 visits MIT
Panel discussions focused on innovation in many forms of energy, then a tour of campus featured student research.
Lincoln Lab unveils the most powerful AI supercomputer at any US university
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
MIT OpenCourseWare is “a living testament to the nobility of open, unbounded learning”
For physicist Mostafa Fawzy, MIT Open Learning’s OpenCourseWare was a steadfast companion through countless study sessions.
Concrete “battery” developed at MIT now packs 10 times the power
Improved carbon-cement supercapacitors could turn the concrete around us into massive energy storage systems.
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.
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
AI system learns from many types of scientific information and runs experiments to discover new materials
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
MIT engineers develop a magnetic transistor for more energy-efficient electronics
A new device concept opens the door to compact, high-performance transistors with built-in memory.
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 tool makes generative AI models more likely to create breakthrough materials
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
Working to make fusion a viable energy source
As the Norman C. Rasmussen Adjunct Professor, George Tynan is looking forward to addressing the big physics and engineering challenges of fusion plasmas.
Climate Action Learning Lab helps state and local leaders identify and implement effective climate mitigation strategies
J-PAL North America’s inaugural Climate Action Learning Lab provided six U.S. cities and states with customized training and resources to leverage data and evaluation to advance climate solutions that work.
Lidar helps gas industry find methane leaks and avoid costly losses
Lincoln Laboratory transitioned its optical-amplifier technology to Bridger Photonics for commercialization, enhancing US energy security and efficiency.