المؤلفون: Chenghan Li (7256366), Gregory A. Voth (246826)

مصطلحات موضوعية: Genetics, Neuroscience, Developmental Biology, Computational Biology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, Information Systems not elsewhere classified, using machine learning, situation becomes even, quantized particles using, path integral representation, modeling complicated chemical, hydrogen nuclei may, combines machine learning, ab initio <, widespread application, time maintaining, scale systems, robust approaches, recent advances, molecular dynamics, material systems, magnitude acceleration, computational approach, better described, become one, 2 orders

Relation: https://figshare.com/articles/journal_contribution/Using_Machine_Learning_to_Greatly_Accelerate_Path_Integral_i_Ab_Initio_i_Molecular_Dynamics/17852267

الاتاحة: https://doi.org/10.1021/acs.jctc.1c01085.s001