摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在荷兰格罗宁根的新闻报道，研究表明，“机器学习原子间势LS(ML-IAPs)能够实现大系统的量子精确、经典分子动力学模拟，超出了密度泛函理论(DFT)的范围。然而，它们预测大于DFT超细胞的系统的效率和能力还没有得到充分的探索，这就提出了一个关于向具有缺陷（如位错、裂纹）的大规模模拟S的转移的问题。”这项研究的财政支持者包括格罗宁根大学信息技术中心(UG)，格罗宁根大学科学和工程学院。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Groningen, Netherlands , by NewsRx journalists, research stated, “Machine learning interatomic potentia ls (ML-IAPs) enable quantum -accurate, classical molecular dynamics simulations of large systems, beyond reach of density functional theory (DFT). Yet, their ef ficiency and ability to predict systems larger than DFT supercells are not fully explored, posing a question regarding transferability to large-scale simulation s with defects (e.g. dislocations, cracks).” Financial supporters for this research include Center for Information Technology of the University of Groningen (UG), Faculty of Science and Engineering at the University of Groningen.
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