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.
Interesting Engineering on MSN
Quantum-inspired software shrinks models by 99% to identify unknown objects in orbit
A New York technology company has won its first U.S. federal research contract to ...
Tech Times on MSN
D-Wave Said Classical Computers Could Not Match Its Quantum Chip. A Laptop Just Did.
D-Wave quantum supremacy challenged: Flatiron Institute physicists showed that a classical algorithm using 3D tensor networks ...
Tech Xplore on MSN
With machine learning, researchers embrace the atomic-scale complexity of batteries
For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
Tech Times on MSN
Stuart Fails to Save the Universe Bets on a Conjecture Physicists Cannot Yet Disprove
Stuart Fails to Save the Universe debuts on HBO Max on July 23, 2026, with Kevin Sussman leading a multiverse rescue built on ...
Led by quantum industry pioneers, the startup aims to overcome challenges in qubit yield and component integration using ...
Understanding which AM processes are achieving flight qualification, and why, requires engineers to think simultaneously about process physics, material microstructure, ...
A team of mathematicians used whimsical "silly sprinklers" to solve a physics mystery that has puzzled scientists for decades ...
Kennesaw State University physics student Matt Bonvissuto has taken what he has learned on campus to the National High ...
Every now and then, a company launches something that doesn’t fit neatly into any existing category. Not because it’s ...
Accessible new database could accelerate research on solar thermal power generation and allow wider deployment ...
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