Deadline for manuscript submissions: 1 August 2025
Special Issue Editors
Dr. Runfa Zhang Website E-Mail: rf_zhang@sina.cn
Guest Editor
Shanxi University, China
Interests: Nonlinear science /Symbolic computation/ Neural network /PDEs
Special Issue Information
This Special Issue (SI) aims to bring together cutting-edge research at the intersection of neural networks, symbolic computation, and the quest for exact solutions to partial differential equations (PDEs). PDEs are fundamental in modeling a wide range of phenomena in physics, engineering, and other sciences, yet finding exact solutions remains a significant challenge. The SI will explore the use of advanced computational methods, particularly neural networks and symbolic computation techniques, to tackle this challenge. We invite contributions that showcase innovative approaches, novel algorithms, and significant findings in solving PDEs with high precision.
The SI will also focus on the theoretical underpinnings and practical applications of these methods, providing a platform for researchers to share their insights and foster interdisciplinary collaboration. By doing so, we aim to advance the field and contribute to the development of more accurate and efficient solutions to complex PDEs.
Keywords
Neural Networks
Symbolic Computation
Exact Solutions
Partial Differential Equations
Computational Methods
High Precision
Theoretical Underpinnings
Interdisciplinary Collaboration
Advanced Algorithms
Scientific Modeling
Published Papers
Prof. Dr. Ji-Huan He
Soochow University, China
Excellence in Research for Australia (ERA Journal ID: 41584)
Elektronische Zeitschriftenbibliothek (EDB-Number: 2424167-2)
Eurasian Scientific Journal Index
Scilit Database (Switzerland)
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