A practical guide to machine learning interatomic potentials – Status and future - Concepedia

Concepedia

Publication | Open Access

A practical guide to machine learning interatomic potentials – Status and future

DOI Full Paper Access

105

Citations

121

References

2025

Year

Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik,

Current Opinion in Solid State and Materials Science

EngineeringMachine LearningData SciencePhysic Aware Machine LearningMachine Learning ToolPractical GuideInteratomic PotentialsComputer Science

References

	Year	Citations

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