Using a new physics-informed machine learning approach, researchers discovered two new high-entropy alloys with extremely low thermal expansion, a new study reports. The approach could represent a ...
Dielectric ceramic capacitors are essential core components for electronics, smart grids and new energy vehicles, prized for their high power density. As electronic devices move toward miniaturization ...
Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...
The work required to drive a system from one state to another comprises both the equilibrium free energy difference and the dissipation associated with irreversibility. As physical processes—such as ...
Invariance. A representation not respecting all the symmetries of the system (non-invariant) requires more training data because the model must learn through the output what was incorrectly fed to the ...
Entropy, the amount of molecular disorder, is produced in several systems but cannot be measured directly. An equation developed by researchers at Chalmers University of Technology in Sweden, and ...
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