Molecular quantum chemical data sets and databases for machine learning potentials

The field of computational chemistry is increasingly leveraging machine learning (ML) potentials to predict molecular properties with high accuracy and efficiency, providing a viable alternative to traditional quantum mechanical (QM) methods, which are often computationally intensive. Central to the...

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Bibliographic Details
Main Authors: Arif Ullah, Yuxinxin Chen, Pavlo O Dral
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/ad8f13
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