3 Questions: Putting nuclear waste into perspective
Professor Haruko Wainwright believes the risks posed by radioactive wastes cannot be properly assessed without also considering the hazards of chemical wastes.
Search Stories
Solving the solvent problem
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
In game theory, generalists sometimes win out over specialists
Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.
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.
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.
Championing fusion’s promising underdog
Sophia Henneberg, assistant professor in the Department of Nuclear Science and Engineering, is developing stellarators to harness fusion energy.
A new way to edit or generate images
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
New computational chemistry techniques accelerate the prediction of molecules and materials
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.
Smart handling of neutrons is crucial to fusion power success
Assistant Professor Ethan Peterson is addressing some of the practical, overlooked issues that need to be worked out for viable fusion power plants.
A new approach to fine-tuning quantum materials
An MIT-led group shows how to achieve precise control over the properties of Weyl semimetals and other exotic substances.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Boosting faith in the authenticity of open source software
Speranza system brings hope to users that the package they download is functional software, not malware.
Rafael Mariano Grossi speaks about nuclear power’s role at a critical moment in history
At MIT, the head of the International Atomic Energy Agency addresses the world’s urgent energy and environmental challenges.
A new way to integrate data with physical objects
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.