Solar
Solar

Solar

Artificial Intelligence Batteries Computer modeling Department of Energy (DoE) DMSE Electrical engineering and computer science (EECS) machine learning Manufacturing Materials science and engineering Nanoscience and nanotechnology National Science Foundation (NSF) Nuclear science and engineering Research School of Engineering Semiconductors Solar

MIT researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

Algorithms Artificial Intelligence Computer science and technology computer-vision Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning Materials science and engineering Mechanical engineering National Science Foundation (NSF) Renewable energy Research Research Laboratory of Electronics Robotics School of Engineering Solar Sustainability

Robotic probe quickly measures key properties of new materials

Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.

Alumni/ae Artificial Intelligence Cleaner industry Emissions Energy efficiency Industry Innovation and Entrepreneurship (I&E) machine learning MIT Sloan School of Management real-estate Renewable energy School of Architecture and Planning Solar Startups Sustainability Wind

A platform to expedite clean energy projects

Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.

3-D printing Algorithms Artificial Intelligence Automation computer-vision Imaging machine learning Materials science and engineering Mechanical engineering Renewable energy Research School of Engineering Solar Sustainability

New computer vision method helps speed up screening of electronic materials

The technique characterizes a material’s electronic properties 85 times faster than conventional methods.