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University of Michigan leads a $19.4 million project funded by the Department of Energy to create an AI that answers physics questions for faster progress in complex designs.

Researchers created AInstein, an artificial intelligence tool that helps understand complex solutions to Einstein's field equations of general relativity, potentially changing views on gravity and the universe.

Scientists use radium molecule to probe nucleus structure and seek clues on matter-antimatter imbalance.

New framework links atomic movements to large-scale effects, aiding design of medicines and materials.

This new device mimics brain neurons using superconductors for fast, low-power AI networks that resist manufacturing flaws.

Auburn's new materials enable precise manipulation of free electrons to advance quantum computing and chemical catalysis.

A new machine learning method uses equations from atmospheric physics to predict wind patterns inside hurricanes.

Three scientists receive the Nobel Prize in Physics for experiments that show quantum tunneling and energy levels in electric circuits big enough to hold in your hand.

Researchers investigate how hidden network shapes affect brain activity, climate, and AI in a study of topological dynamics.

Neural networks make the calculations needed for understanding how materials behave at the atomic level significantly faster.