Machine learning unlocks secrets to advanced alloys
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.
Studying astrophysically relevant plasma physics
Thomas Varnish has always loved a hands-on approach to science. Research in lab-based astrophysics has enabled the PhD student to experiment in a heavily theoretical subject.
Creating the crossroads
Through academia and industry, Gevorg Grigoryan PhD ’07 says there is no right path — just the path that works for you.
Making climate models relevant for local decision-makers
A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.
Modeling the threat of nuclear war
As part of his MIT doctoral studies in nuclear science and engineering, Eli Sanchez investigated whether hypersonic missiles threaten global security.
The origin of the sun’s magnetic field could lie close to its surface
Sunspots and flares could be a product of a shallow magnetic field, according to surprising new findings that may help scientists predict space weather.
Scientists use generative AI to answer complex questions in physics
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
Two MIT PhD students awarded J-WAFS fellowships for their research on water
Jonathan Bessette and Akash Ball have been named 2024-25 J-WAFS Fellows for water treatment technologies.
Fostering research, careers, and community in materials science
MICRO internship program expands, brings undergraduate interns from other schools to campus.
To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Using deep learning to image the Earth’s planetary boundary layer
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.
A first-ever complete map for elastic strain engineering
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
MIT-derived algorithm helps forecast the frequency of extreme weather
The new approach “nudges” existing climate simulations closer to future reality.
Engineering household robots to have a little common sense
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
For MIT students, there is much to learn from crafting a chair
In class 4.500 (Design Computation), Professor Larry Sass teaches the thoughtful and experimental process of design through the familiar idea of a chair, while exploring “foundational technologies.”