A beacon of light
A lantern created in the Design Intelligence Lab creates sustainable alternatives for consumer electronics.
A lantern created in the Design Intelligence Lab creates sustainable alternatives for consumer electronics.
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 researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.
But a new study shows how advanced steelmaking technologies could substantially reduce carbon emissions.
The method’s overall carbon emissions are on par with those of other green hydrogen technologies.
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
These devices could pack three times as much energy per pound as today’s best EV batteries, offering a lightweight option for powering trucks, planes, or ships.
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
The former US Army Helicopter pilot co-founded Helix Carbon to erase the carbon footprint of tough-to-decarbonize industries.
Postdoc Haoran Li describes how the Concrete Sustainability Hub is enabling accessible, fast, and robust pavement decision-making.
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.