Tech Xplore on MSN
AI extracts hidden material rules from microscopic data to predict large-scale behavior
Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn ...
Researchers led by Giulia Galli at University of Chicago's Pritzker School of Molecular Engineering report a computational study that predicts the conditions to create specific spin defects in silicon ...
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 ...
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Proteins must ...
As the global semiconductor industry enters the so-called 2-nanometer process era, the actual size of transistors—the core components of semiconductor chips—still remains above 10 nm. How much smaller ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating generative AI, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories ...
As the demand for renewable energy grows, scientists are searching for better batteries that can store large amounts of ...
Researchers have observed hydrogen and deuterium molecules in tiny spaces called picocavities using advanced spectroscopy. This study reveals unique differences between the molecules due to quantum ...
Continuous downscaling of the critical dimensions in semiconductor devices is the cornerstone of technological revolution. As the technology nodes keep shrinking, innovations in fabrication ...
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