Accurate prediction of activation barriers is essential for reliable mechanistic modeling of copper-catalyzed carbon conversion reactions yet remains challenging for conventional density functional theory. Here, we evaluate a hybrid PBE-D3/M06 approach for reaction kinetics on low-index Cu(100), Cu(110), and Cu(111) su...
Yu Bai, Zhenbin Wang· Journal of Chemical Physics· 0 citations
This review examines how current systems translate materials questions into computational tasks, identifies the settings in which reliability and recovery have been demonstrated, and explains why runnable calculations should be distinguished from scientifically justified conclusions.
Machine-learning-accelerated materials discovery has yielded large numbers of computationally stable compounds, yet many remain experimentally unrealized, underscoring a persistent gap between prediction and synthesis. Here, we introduce a hierarchical screening framework that combines PBE-based thermodynamic stability...
Yuqi An, Sihong Zhu, Joseph H. Montoya et al.· 0 citations
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