Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Original language	English
Title of host publication	Genetic Programming Theory and Practice
Publisher	Springer
Pages	1-30
Volume	XIX
ISBN (Electronic)	978-981-19-8460-0
ISBN (Print)	978-981-19-8459-4, 978-981-19-8462-4
DOIs	https://doi.org/10.1007/978-981-19-8460-0_1
Publication status	Published - 12 Mar 2023

Name	Genetic and Evolutionary Computation
ISSN (Print)	1932-0167
ISSN (Electronic)	1932-0175

Access to Document

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title = "Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data",

author = "Bogdan Burlacu and Michael Kommenda and Gabriel Kronberger and Winkler, {Stephan m.} and Michael Affenzeller",

year = "2023",

month = mar,

day = "12",

doi = "10.1007/978-981-19-8460-0_1",

language = "English",

isbn = "978-981-19-8459-4",

volume = "XIX",

series = "Genetic and Evolutionary Computation",

publisher = "Springer",

pages = "1--30",

booktitle = "Genetic Programming Theory and Practice",

address = "Germany",

}

TY - CHAP

T1 - Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data

AU - Burlacu, Bogdan

AU - Kommenda, Michael

AU - Kronberger, Gabriel

AU - Winkler, Stephan m.

AU - Affenzeller, Michael

PY - 2023/3/12

Y1 - 2023/3/12

U2 - 10.1007/978-981-19-8460-0_1

DO - 10.1007/978-981-19-8460-0_1

M3 - Chapter

SN - 978-981-19-8459-4

SN - 978-981-19-8462-4

VL - XIX

T3 - Genetic and Evolutionary Computation

SP - 1

EP - 30

BT - Genetic Programming Theory and Practice

PB - Springer

ER -