摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。据《中国湖南消息》报道，NewsRx记者称，“二维（2D）跃迁与Al双卤族化合物(TMDs)具有密切的物理、化学、电子和光学性质，引起了人们的极大兴趣。然而，TMD的实际应用受到控制原子层厚度的挑战的限制。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “Two-dimensional (2D) transition met al dichalcogenides (TMDs) have attracted significant interest due to their intri guing physical, chemical, electronic and optical properties. However, the practi cal applications of TMDs are limited by challenges related to controlling the th ickness of atomic layers.”
NETL
NSTL