MIT’s work with Idaho National Laboratory advances America’s nuclear industry
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
J-PAL North America’s inaugural Climate Action Learning Lab provided six U.S. cities and states with customized training and resources to leverage data and evaluation to advance climate solutions that work.
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
Brushett leads one-of-its-kind program that has been a bridge between education and industry for over a century.
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
A new book, “Value of Design,” serves as a tribute to the late MIT research scientist Andrea Chegut, whose work linked the economics of innovation to real estate finance and development.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Through education and innovation, the new initiative aims to spark novel approaches to global sustainability challenges and strengthen academic ties.
Four new professors join the Department of Architecture and MIT Media Lab.
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
The findings could enable new ways to increase plants’ resilience to UV stress and enhance seedling growth.
Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.
The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.