Autonomous active-learning pipeline (MACE + jobflow) that trains an MLIP to DFT-level accuracy, automates CI-NEB calculations and extracts Brønsted–Evans–Polanyi scaling relations for H₂ dissociation on N-doped graphene-supported Pd single-atom catalysts.
python mongodb dft sqlite computational-chemistry graphene materials-science mace active-learning ase heterogeneous-catalysis jobflow machine-learning-potentials single-atom-catalysis
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Updated
Oct 5, 2026 - Python