Machine Learning Science and Technology

Machine Learning Science and Technology is a multidisciplinary open access journal that bridges the application of machine learning across the sciences with advances in machine learning methods and theory as motivated by physical insights. Specifically, articles must fall into one of the following categories: advance the state of machine learning-driven applications in the sciences or make conceptual, methodological or theoretical advances in machine learning with applications to, inspiration from, or motivated by scientific problems.

《Machine Learning Science and Technology》是一本多学科开放获取期刊，它将机器学习跨科学的应用与受物理洞察力推动的机器学习方法和理论的进步联系起来。具体来说，文章必须属于以下类别之一：推进机器学习驱动的科学应用的状态，或者通过对科学问题的应用、启发或推动，在机器学习方面取得概念、方法或理论的进步。涉及的领域包括物理学和空间科学，新型材料和分子的设计和发现，材料表征技术以及材料、化学过程和生物系统的模拟等。