Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

The Terre Haute Children's Museum is installing a new "Wonders of the Wabash" water table exhibit, which is scheduled to open ...

Deploying world models in real robotic systems requires a step that receives less attention than the models themselves: ...

Electronic products are growing in complexity faster than traditional engineering workflows can scale. As electrical, thermal ...

Congyu Liao, PhD, began his studies in geoscience, learning the physics of nuclear magnetic resonance (NMR) and electronics instrumentation, and applying those principles to detect and characterize ...

A few lucky campers were indoors this week, designing roller coasters that might go too fast to be safe in real life.

D-Wave quantum supremacy challenged: Flatiron Institute physicists showed that a classical algorithm using 3D tensor networks ...

School may be out for summer, but that doesn’t mean that educators stop working, or that students aren’t still learning.

The potential for solving problems in climate, oceans, the biosphere, and the biology of disease is vast, writes Celine ...

A New York technology company has won its first U.S. federal research contract to ...