Work

Limitations of XGBoost in Predicting Material Parameters for Complex Constitutive Models

Year: 2025

Type: article

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/matecconf/202540801023/pdf

Authors: Pedro Prates, Dário Mitreiro, António Andrade-Campos

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W6884545769

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