摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自蒙古乌兰巴托的新闻，NewsRx记者的研究表明，“无定形二硫化钼显示出作为析氢催化剂的潜力，但其高活性的来源和原子结构尚不清楚。在这里，我们利用电荷平衡神经网络方法开发了一个经典的原子间势，并利用该模型对非晶MoS2的熔化和淬灭过程进行了原子模型的建立。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Ulaanbaatar, Mongolia, by NewsRx correspondents, research stated, “Amorphous molybdenum disulfide has shown potential as a hydrogen evolution catalyst, but the origin of its high act ivity is unclear, as is its atomic structure. Here, we have developed a classica l inter-atomic potential using the charge equilibration neural network method, a nd we have employed it to generate atomic models of amorphous MoS2 by melting an d quenching processes.”
NETL
NSTL