Tag: high-throughput


  • Machine Learning Empowers 95%-Accurate K-Point Mesh for Quantum ESPRESSO

    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…