Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...
The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...
What if AI could discover breakthrough materials before we even test them? A new physics-informed AI model makes discovery ...
Futuristic control of structure in some materials is being made possible by a physics loophole.
Maze magnetic domains in soft magnetic materials strongly influence energy loss in electric motors, particularly at high ...
MP Materials stock outlook: government-backed rare earth supply chain play, magnetics ramp, and margin upside after pullback.
NEW YORK CITY, NY / ACCESS Newswire / April 14, 2026 / For American industry, material efficiency is no longer a ...
Across the United States and Central Asia, Althaus has concentrated on building connected materials systems. The goal is ...
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AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...
The Kardar Parisi Zhang equation models surface growth. After forty years, researchers confirmed its two dimensional behavior using polaritons in engineered materials.
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