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Optimization of Computations in Simulating Chemical Kinetics Using Surrogate Neural Models

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

Department of Mechanics and Mathematics

DOI

https://doi.org/10.1109/OPCS63516.2024.10720440
Final published version

Gleb Kazakov
Kirill Ivanov
Alexey Penenko
Mikhail Marchenko

Original language	English
Title of host publication	Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	60-64
Number of pages	5
ISBN (Print)	9798331517625
DOIs	https://doi.org/10.1109/OPCS63516.2024.10720440
Publication status	Published - 2024
Event	20th International Asian School-Seminar on Optimization Problems of Complex Systems - Новосибирск, Russian Federation Duration: 19 Jul 2024 → 30 Jul 2024 Conference number: 20

Publication series

Name	Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024

Conference

Conference	20th International Asian School-Seminar on Optimization Problems of Complex Systems
Abbreviated title	OPCS 2024
Country/Territory	Russian Federation
City	Новосибирск
Period	19.07.2024 → 30.07.2024

Research areas

Stiff chemical kinetics, auto-regression, clustering, curriculum learning, deep learning, neural networks, power transform

OECD FOS+WOS

1.01 MATHEMATICS

ID: 61421737