Turning extreme heat into large-scale energy storage
Fourth Power, founded by Professor Asegun Henry, is developing thermal batteries for efficiently storing excess electricity from utility grids and power producers.
Fourth Power, founded by Professor Asegun Henry, is developing thermal batteries for efficiently storing excess electricity from utility grids and power producers.
The newly created role will shape the infrastructure needed to nurture the school’s growing research goals.
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.
MIT researchers uncovered the roles of bacterial species from the environment as they consume biodegradable plastic.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
PhD student Audrey Parker studies methane mitigation strategies in dairy farms and coal mines, to reduce emissions of the potent greenhouse gas.
Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.
One year in, MIT’s hands-on 6-5 (Electrical Engineering With Computing) degree program is already one of the most popular majors among first-year students.
MIT professors Amos Winter and Nikolai Zeldovich are honored for exceptional undergraduate teaching.
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
Light-emitting structures that curl off the chip surface could enable advanced displays, high-speed optical communications, and larger-scale quantum computers.
A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.
Using boron nitride nanotubes, mechanical engineering doctoral student Palak Patel develops materials for space that block dangerous ionizing radiation.
Faculty members and researchers were honored in recognition of their scholarship, service, and overall excellence.
A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.