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20162026
most citedMachine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

113 citations · 175 across the 12 of their papers we have counts for

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cond-mat.mtrl-sci2025★ 2 cited

Modeling the Equilibrium Vacancy Concentration in Multi-Principal Element Alloys from First-Principles

Damien K. J. Lee, Yann L. Müller, Anirudh Raju Natarajan

Multi-principal element alloys (MPEAs), also known as high-entropy alloys, have garnered significant interest across many applications due to their exceptional properties. Equilibr…