Models show that an unexpected reduction in human-driven emissions led to a 10 percent decline in atmospheric mercury concentrations.

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

Sunspots and flares could be a product of a shallow magnetic field, according to surprising new findings that may help scientists predict space weather.

A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.

Jonathan Bessette and Akash Ball have been named 2024-25 J-WAFS Fellows for water treatment technologies.

MICRO internship program expands, brings undergraduate interns from other schools to campus.

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.

New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.