New Benchmark Tests Whether AI Materials Models Get Physics Right
A Columbia-led team has introduced a physics-aware benchmark showing that machine learning models can predict thermal conductivity accurately while misrepresenting ...
A Columbia-led team has introduced a physics-aware benchmark showing that machine learning models can predict thermal conductivity accurately while misrepresenting ...
A new computational method from HZDR and TU Dresden predicts separable atomic layers in any crystal, identifying 2,531 promising two-dimensional ...
A five-study study finds Americans and Brazilians broadly support the same hybrid economic system but label it differently by political ...
An iron-based metal-organic framework with pyridine nitrogen in its secondary coordination sphere converts about 90 percent of trace hydrogen peroxide ...
University of Iowa chemists isolated terbium in its rare plus-4 oxidation state under ordinary ambient conditions using a tungsten-oxygen molecular ...
A platelet-engineered AAV system that silences the fatty acid transporter CD36 reshaped cardiac lipid metabolism and improved repair after ischemia-reperfusion ...
Researchers at Forschungszentrum Jülich performed a quantum gate on a superconducting qubit in 6.8 nanoseconds with over 99.98 percent accuracy ...
A peer-reviewed study of blue phosphorescent OLEDs found that initial brightness changes under a magnetic field were strongly correlated with ...
The AI system Unify connected 125 cell types across seven species spanning more than 700 million years by comparing gene ...
A new study estimates that flood-driven rebuilding in Europe could require more than ten times today's building material replacement and ...
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© 2025 Scienmag - Science Magazine