首页|HSE University Reports Findings in Machine Learning (Ion Migration at Metal Hali de Perovskite Grain Boundaries Elucidated with a Machine Learning Force Field)
HSE University Reports Findings in Machine Learning (Ion Migration at Metal Hali de Perovskite Grain Boundaries Elucidated with a Machine Learning Force Field)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Moscow, Russia, by New sRx correspondents, research stated, “Metal halide perovskitesare promising opt oelectronic materials with excellent defect tolerance in carrier recombination, believed toarise largely from their unique soft lattices. However, weak lattice interactions also promote ion migration,leading to serious stability issues.”
MoscowRussiaEurasiaCyborgsEmergi ng TechnologiesMachine Learning
NETL
NSTL
