most citedRevealing interstitial energetics in Ti-23Nb-0.7Ta-2Zr gum metal base alloy via universal machine learning interatomic potentials

3 citations · 3 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2025★ 3 cited

Revealing interstitial energetics in Ti-23Nb-0.7Ta-2Zr gum metal base alloy via universal machine learning interatomic potentials

Miroslav Lebeda, Jan Drahokoupil, Veronika Mazáčová +1

Understanding the behavior of light interstitial elements in multicomponent alloys remains challenging due to the complexity of local chemical environments and the high computation…