Intelligent navigation of potential energy surfaces: leveraging deep reinforcement learning paradigms for accelerated discovery of stable nickel nanoclusters
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The functional properties of nanoclusters are dictated by their atomic-scale structures; however, the efficient discovery of global energy minima on complex high-dimensional potential energy surfaces remains a formidable challenge in computational materials de... ...
