Is it topological? A new materials database has the answer
Searchable tool reveals more than 90,000 known materials with electronic properties that remain unperturbed in the face of disruption.
Searchable tool reveals more than 90,000 known materials with electronic properties that remain unperturbed in the face of disruption.
Professor Polina Anikeeva’s innovation in the treatment of neurological disorders highlights the interdisciplinary nature of her field.
Global Semiconductor Alliance’s Women’s Leadership Initiative highlights career opportunities for women in hard technology.
Engineers have developed a glucose power source that could fuel miniature implants and sensors.
New five-year agreement will support SPARC science, increase graduate students and postdocs, and support interdisciplinary work toward fusion power plants.
New understanding of metal electrolysis could help optimize production of metals like lithium and iron.
Committed to Caring honoree Jeff Grossman strives to provide each of his students with personalized advising.
The 2nd Annual Research Slam featured three-minute talks on cutting-edge research from across MIT in an engaging public showcase and competition.
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
New technology could help generate hydrogen and chemical industry ingredients.
Through the year-long MCSC Climate and Sustainability Scholars Program, students have the opportunity to lead research projects.
MIT’s LEAP at MIT.nano is the first in a network to advance manufacturing for the state.
Mechanical engineers put an Oreo’s cream filling through a battery of tests to understand what happens when two wafers are twisted apart.
The Center for Electrification and Decarbonization of Industry unites MIT climate researchers to create scalable clean energy solutions under one roof.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.