Manuscript Topics

Multi-physics phenomena are prevalent in various scientific and engineering disciplines, presenting complex challenges that require innovative numerical solutions. Partial differential equations (PDEs) serve as a fundamental framework for modeling these multi-physics-inspired systems. This special issue seeks to bring together cutting-edge research in the field of numerical solutions for multi-physics-inspired PDEs. We invite researchers and experts to contribute their original work to this special issue.

Topics of Interest:
We welcome submissions addressing a wide range of topics related to numerical methods and techniques for solving multi-physics-inspired PDEs, including but not limited to:

• Development of novel numerical algorithms for multi-physics simulations.
• Adaptive and high-order numerical methods for PDEs.
• Parallel and distributed computing techniques for solving multi-physics problems.
• Applications of machine learning and data-driven methods in multi-physics simulations.
• Uncertainty quantification and sensitivity analysis in multi-physics modeling.
• Multi-scale modeling and simulation techniques.
• Benchmark problems and validation studies for multi-physics simulations

Instructions for authors
https://www.aimspress.com/era/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/