KFU. Card publication. Neural Network Model for Predicting the Atomization Energy of Multi-Atomic Molecules Based on Sorted Coulomb Matrices

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FEDERAL UNIVERSITY

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NEURAL NETWORK MODEL FOR PREDICTING THE ATOMIZATION ENERGY OF MULTI-ATOMIC MOLECULES BASED ON SORTED COULOMB MATRICES

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Khusnutdinov Ramil Minnegayazovich, author

Yunusov Mukhammadbek Bekhzodovich, author

Bibliographic description in the original language

Yunusov M. B., Khusnutdinoff R. M. Neural Network Model for Predicting the Atomization Energy of Multi-Atomic Molecules Based on Sorted Coulomb Matrices // High Energy Chemistry. – 2024. – V. 58. – �. 2. – P. 286-289.

Keywords

Neural Networks, Coulomb matrix, Atomization Energy

The name of the journal

HIGH ENERGY CHEMISTRY

URL

https://link.springer.com/article/10.1134/S0018143924701017

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=321364&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Khusnutdinov Ramil Minnegayazovich	ru_RU
dc.contributor.author	Yunusov Mukhammadbek Bekhzodovich	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Yunusov M. B., Khusnutdinoff R. M. Neural Network Model for Predicting the Atomization Energy of Multi-Atomic Molecules Based on Sorted Coulomb Matrices // High Energy Chemistry. – 2024. – V. 58. – �. 2. – P. 286-289.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=321364&p_lang=2	ru_RU
dc.description.abstract	HIGH ENERGY CHEMISTRY	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Neural Networks	ru_RU
dc.subject	Coulomb matrix	ru_RU
dc.subject	Atomization Energy	ru_RU
dc.title	Neural Network Model for Predicting the Atomization Energy of Multi-Atomic Molecules Based on Sorted Coulomb Matrices	ru_RU
dc.type	Articles in international journals and collections	ru_RU