Magnetic domains can take on a wide range of structures. In certain soft magnetic materials, they form complex zig-zag ...
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Machine learning is reinventing high-entropy alloys
High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...
WASHINGTON, Sept. 6, 2023 – Though a cornerstone of thermodynamics, entropy remains one of the most vexing concepts to teach budding physicists in the classroom. As a result, many people oversimplify ...
New model uses persistent homology to analyze topological features in data and extract inhomogeneous structural features from ...
The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...
Though a cornerstone of thermodynamics, entropy remains one of the most vexing concepts to teach budding physicists in the classroom. Physics teachers designed a hand-held model to demonstrate the ...
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