MIT engineers make converting CO2 into useful products more practical
A new electrode design boosts the efficiency of electrochemical reactions that turn carbon dioxide into ethylene and other products.
A new electrode design boosts the efficiency of electrochemical reactions that turn carbon dioxide into ethylene and other products.
An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.
MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering.
The findings suggest that biochemical and physical effects of exercise could help heal nerves.
The associate professor of civil and environmental engineering studies ancient materials while working to solve modern problems.
A new study on techno-economic outlooks for zero-emission heavy-duty trucking underscores the need for cross-sector collaboration.
Phoenix Tailings, co-founded by MIT alumni, is creating domestic supply chains for rare earth metals, key to the clean energy transition.
Two MIT graduate students share similar journeys from West Point to MIT.
Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.
ASPIRE program brings MIT-style research, innovation, and entrepreneurship to Central America, sparking sustainable development by and for the people.
By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.
A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health data and fashion designs.
The drug-device combination developed by MIT spinout Lumicell is poised to reduce repeat surgeries and ensure more complete tumor removal.
MIT engineers’ new model could help researchers glean insights from genomic data and other huge datasets.
Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.