Less is more: Sampling chemical space with active learning
نویسندگان
چکیده
منابع مشابه
Less is more: sampling chemical space with active learning
The development of accurate and transferable machine learning (ML) potentials for predicting molecular energetics is a challenging task. The process of data generation to train such ML potentials is a task neither well understood nor researched in detail. In this work, we present a fully automated approach for the generation of datasets with the intent of training universal ML potentials. It is...
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ژورنال
عنوان ژورنال: The Journal of Chemical Physics
سال: 2018
ISSN: 0021-9606,1089-7690
DOI: 10.1063/1.5023802