Tag: computational chemistry
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Machine Learning Achieves 95% Accuracy In Optimized K-Point Mesh Generation For Quantum ESPRESSO
Overview: Bridging ML and Quantum ESPRESSO for efficient DFT Density functional theory (DFT) is a cornerstone of modern materials science, enabling researchers to predict properties and behaviors of complex systems. Yet, the accuracy and efficiency of DFT calculations depend heavily on the choice of computational settings, especially the k-point mesh used to sample the Brillouin…
