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20242026
most citedApplication-specific machine-learned interatomic potentials: exploring the trade-off between DFT convergence, MLIP expressivity, and computational cost

5 citations · 6 across the 5 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 1 cited

Hierarchical Gaussian Process-Based Bayesian Optimization for Materials Discovery in High Entropy Alloy Spaces

Sk Md Ahnaf Akif Alvi, Jan Janssen, Danial Khatamsaz +3

Bayesian optimization (BO) is a powerful and data-efficient method for iterative materials discovery and design, particularly valuable when prior knowledge is limited, underlying f…