Tag: high-throughput
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Machine Learning Empowers 95%-Accurate K-Point Mesh for Quantum ESPRESSO
Revolutionizing Computational Materials Science Density functional theory (DFT) is a cornerstone of modern materials research, enabling scientists to predict electronic structure and properties with quantum mechanical rigor. Yet, the reliability and efficiency of DFT calculations hinge on a critical, often tedious step: selecting an optimal k-point mesh for Brillouin-zone sampling. In large-scale studies, this choice…
