Long Short-Term Memory in Chemistry Dynamics Simulation

Conference proceeding

Heng Wu, Shaofei Lu, Colmenares-Diaz Eduardo, Junbin Liang, Jingke She, Heng Wu and Xiaolin Tan

Advances in Artificial Intelligence and Applied Cognitive Computing Proceedings from ICAI'20 and ACC'20, pp.111-125

Transactions on Computational Science and Computational Intelligence

01/01/2021

Abstract

Computer Science, Artificial Intelligence

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

Mathematics, Applied

Science & Technology

Computer Science

Mathematics

Physical Sciences

Technology

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Title: Long Short-Term Memory in Chemistry Dynamics Simulation
Creators: Heng Wu - West Virginia State University
Shaofei Lu - Hunan University
Colmenares-Diaz Eduardo - Midwestern State University
Junbin Liang - Guangxi University
Jingke She - Hunan University
Heng Wu - University of La Verne, Computer Science
Xiaolin Tan - Hunan University
Publication Details: Advances in Artificial Intelligence and Applied Cognitive Computing Proceedings from ICAI'20 and ACC'20, pp.111-125
Series: Transactions on Computational Science and Computational Intelligence
Publisher: Springer Nature
Number of pages: 15
Grant note: Chemdynm cluster at Texas Tech University Dr. Hase research group TC9084DY / Industrial Internet Innovation and Development Project of China: Digital twin system for automobile welding and casting production lines and its application demonstration
Identifiers: 991004307046906311
Academic Unit: Computer Science
Language: English
Resource Type: Conference proceeding