Work

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data

Year: 2023

Type: book-chapter

Source: Genetic and evolutionary computation

DOI: 10.1007/978-981-19-8460-0_1

Authors: Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller

Institution: University of Applied Sciences Upper Austria

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4286753666

FWCI: 3.537

Cites: 46

Cited by: 8

Related to: 10