Work

Committee Neural Networks for Two-Dimensional Metal-Organic Frameworks

Year: 2024

Type: article

Abstract: The input & output files and NNP models parameters for the "Machine Learning Potential Energy Surfaces for Two-Dimensional Metal-Organic Frameworks based on Committee Neural Networks"

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14002968

Authors: Shi, Yuliang, Shakib, Farnaz

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911969893

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