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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	BMC chemistry Ročník 18; číslo 1; s. 24 - 18
Hlavní autoři:	Wei, Wu, Mengshan, Li, Yan, Wu, Lixin, Guan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 30.01.2024 BioMed Central Ltd Springer Nature B.V BMC
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!