Cobalt carbide catalysts have attracted significant attention due to their high activity and light-hydrocarbon selectivity in the direct conversion of syngas, yet navigating their multidimensional parameter space typically relies on a trial-and-error screening process. In this work, an active-learning (AL)-assisted m...
Jia-Qing Lv, Jia-Yi Zhang, Xue Jia et al.· Industrial & Engineering...· 0 citations
This work critically discusses the synergy between first-principles density functional theory (DFT), molecular dynamics simulations, and advanced AI algorithms including supervised and unsupervised learning (SL, UL), graph neural networks (GNNs), and Machine Learning Interatomic Potentials (MLIP) that collectively enab...
Jia-Ying He, Zama Jan, He-Qin Guo et al.· AI for Materials· 0 citations
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