Cluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine

Background Clusters, a novel hierarchical material structure that emerges from atoms or molecules, possess unique reactivity and catalytic properties, crucial in catalysis, biomedicine, and optoelectronics. Predicting cluster energy provides insights into electronic structure, magnetism, and stabili...

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Vydané v:	BMC chemistry Ročník 18; číslo 1; s. 24 - 18
Hlavní autori:	Wei, Wu, Mengshan, Li, Yan, Wu, Lixin, Guan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 30.01.2024 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Algorithms Catalysis Chemistry Chemistry and Materials Science Chemistry/Food Science Cluster Clusters Eigenvalues Electronic structure Energy Energy prediction Energy storage Feature extraction Force and energy LightGBM Machine Learning Magnetism Marine mammals Mathematical models Mathematical optimization Matrix representation Medical imaging Model accuracy Molecular structure Optimization Optimization algorithms Optoelectronics Parameters Potential energy Prediction models R&D Research & development Tetrahedra Energy prediction Cluster Machine Learning LightGBM
ISSN:	2661-801X, 2661-801X
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