Playing against climate risk
Climate scientist Sai Ravela is using games to help coastal communities find creative adaptations to climate change.
Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
The importance of indoor airflow patterns in spreading airborne disease
Researchers explore how a key factor can mitigate or promote tuberculosis transmission.
Paving the way for greener ammonia production
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
With a feel for physics, AI models simulate a wider range of real-world scenarios
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Solving the solvent problem
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
Working to automate nuclear plant operations
PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.
A better way to turn 2D designs into 3D models for rapid prototyping
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
How visual learning happens in the brain
Scientists find that learning to identify a new object subtly reshapes visual processing in the brain.
A better way to model the behavior of metal alloys
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.
When it comes to predicting people’s preferences, it pays to consider “the power of three”
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
Researchers “reprogram” materials by quickly rearranging their atoms
A new method for precisely moving columns of individual atoms within a material could give rise to exotic quantum properties.
MIT engineers’ virtual violin produces realistic sounds
Based on the physics of how the instrument produces sound, the model could help violin makers in the design process.
Waves hit different on other planets
From lazy ripples to towering breakers, waves should vary widely from one planet to another, according to a new model.
Working to advance the nuclear renaissance
Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.