A streamlined approach to determining thermal properties of crystalline solids and alloys
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
Use of a novel electrolyte could allow advanced metal electrodes and higher voltages, boosting capacity and cycle life.
New findings may help unleash the potential of high-powered, solid-electrolyte lithium batteries.
National Academies study says fusion can help decarbonize US energy, calls for public-private approach to pilot plant operation by 2035-40.
The advance could boost recommendation algorithms and internet search.
Inspired by decades-old MIT research, the new technology could boost quantum computers and other superconducting electronics.
Structure may reveal conditions needed for high-temperature superconductivity.
Study measures which kinds of infrastructure improvements could lead to wider adoption of clean vehicles.
U.S. C3E Women in Clean Energy Symposium convenes virtually, declaring environmental justice key for combating climate change.
A quantum effect in topological semimetals demonstrated by MIT researchers could allow for the utilization of an untapped energy source.
System uses machine learning to analyze boundaries between crystal grains, allowing for selection of desired properties in a new metal.
Grad student Chiara Salemi and Professor Lindley Winslow use the ABRACADABRA instrument to reveal insights into dark matter.
Leakage from frozen layers was a puzzle, but a new study shows how the potent greenhouse gas breaks through icy barriers.
MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.
Device could provide pressurized steam to run autoclaves without the need for electricity in off-grid areas.