High-Performance Computing in Computational Physics and Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E4: Mathematical Physics".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 21
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue, entitled ‘High-Performance Computing in Computational Physics and Engineering’, aims to explore the latest advancements in mathematical techniques, numerical methods, and algorithmic developments that enhance the efficiency, scalability, and accuracy of high-performance computing (HPC) systems applied to complex problems in physics and engineering.
High-performance computing has become indispensable for addressing grand-challenge problems in science and engineering. As physical systems grow increasingly complex—characterized by nonlinearity, multiple scales, multiphysics coupling, and large data volumes—traditional experimental approaches often prove prohibitively expensive, limited by scaling issues, or simply infeasible. Under these constraints, high-fidelity numerical simulations powered by advanced mathematical methods and modern HPC architectures offer the primary pathway to understanding and predicting physical behavior.
This Special Issue seeks to bring together researchers and practitioners to present innovative mathematical frameworks, numerical algorithms, and computational strategies that tackle the challenges of large-scale simulations. Particular emphasis is placed on how rigorous mathematical approaches can optimize performance, reduce the time-to-solution, improve energy efficiency, and enhance the reliability of simulations across diverse domains in computational physics and engineering.
We invite high-quality manuscripts that address theoretical developments, novel numerical methods, parallel algorithms, and practical implementations in HPC environments. Topics of interest include, but are not limited to:
- Numerical methods for high-performance computing (finite element, finite volume, finite difference, spectral methods, meshless methods, kinetic methods, etc.);
- Parallel computing and domain decomposition techniques;
- Scalable algorithms and software for exascale and emerging HPC architectures;
- Multiscale and multiphysics modeling in computational physics and engineering;
- High-performance computing for mathematical modeling;
- GPU and accelerator-based computing for scientific simulations;
- Data-driven approaches, reduced-order modeling, and machine learning accelerated by HPC;
- Optimization, uncertainty quantification, and inverse problems in large-scale systems;
- Energy-efficient computing and performance portability;
- Cross-disciplinary applications in physics, engineering, materials science, and related fields.
Cross-border modeling and advanced numerical simulation coupling different physical phenomena in physics and engineering are particularly welcome.
We look forward to receiving your valuable contributions that will help advance the frontiers of mathematical methods in high-performance computing and foster interdisciplinary collaboration for the next generation of scientific computing.
Dr. Leon Kos
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- high-performance computing (HPC)
- parallel computing
- numerical methods
- computational physics
- computational engineering
- multiphysics simulation
- scalable algorithms
- scientific computing
- multiscale modeling
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