JPCM特刊征稿|Focus Issue on Machine Learning for Understanding the Physics of Chemical Processes
特刊详情 客座编辑 Max Veit,芬兰阿尔托大学 Jigyasa Nigam,瑞士洛桑联邦理工学院 主题范围 Machine learning (ML) techniques have revolutionized the study of complex physical and chemical phenomena by enabling the simulation of large systems over long timescales with near quantum-mechanical accuracy. They are now routinely applied to a wide variety of systems from molecular to solid state, offering insights into processes…