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Understanding Interpretable Patterns of Data Behaviours in Materials Data

Year: 2025

Type: article

Abstract: Supplementary material for Understanding Interpretable Patterns of Data Behaviours in Materials Data, includes C code and IPython notebooks for analysing reproduced materials data.

Source: Figshare

DOI: 10.6084/m9.figshare.26353096

Author: Liu, Tommy

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6939907323

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