APL Computational Physics: Coming Soon
Focus and Coverage | Editorial Team | Subscribe to our Newsletter
Focus and Coverage
APL Computational Physics is a dynamic open-access platform for the rapidly evolving landscape of physical sciences, where computational techniques drive groundbreaking research. The journal offers a dedicated venue for diverse computational physics models, methods, and simulations across a broad range of physical science disciplines. Emphasizing interdisciplinary approaches, it highlights the integration of computational innovations to tackle complex physical challenges. APL Computational Physics will publish research that showcases the transformative impact of computation across all physical sciences, including, but not limited to:
- Computational Simulations and Applications: Computational research that offers novel physical insights across diverse areas, including, but not limited to, condensed matter, nanoscience, molecular science, spectroscopy, nuclear physics, high-energy physics, biophysics, environmental science, and astronomy.
- Computational Techniques and Methodologies: Broad coverage of computational theories, methods, models, and techniques, such as density functional theory, wave function theory, stochastic approaches, and more.
- Multiscale and Multiphysics Modeling: Advanced techniques that connect different scales and physical regimes, addressing nonlinear dynamics, coupled systems, and cross-domain applications.
- Algorithmic and Numerical Advances: Cutting-edge innovations in algorithms, numerical methods, and software that enhance simulation, optimization, and computational efficiency for solving complex physical problems.
- Big Data and Predictive Computation: Utilizing AI, machine learning, and data-driven approaches to advance physical science applications, refine models, uncover emergent behaviors, and generate new insights into established theories.
- Quantum Computing in Physical Sciences: Applications of quantum computing to solve physical problems, including quantum simulations, error mitigation techniques, and hybrid quantum-classical algorithms.
- Validation, Verification, and Uncertainty Quantification: Robust methodologies for validating and verifying computational models, tools, and software, alongside quantifying uncertainties in complex physical systems.
- High-Performance Computation: Advanced strategies enabling high-throughput experimentation and large-scale simulations.
- Experimental Design and Computational Support: Leveraging computational models to enhance the design, execution, and interpretation of experimental research.
- Software and Library Tutorials: Detailed guidance on using computational physics software modules for simulations and implementing libraries to develop and apply new methodologies.
- New Software Announcements: Introducing novel computational physics software and tools, highlighting their features, capabilities, and potential applications in advancing simulations and methodologies.
By emphasizing these broad and interconnected areas, APL Computational Physics aims to become a leading platform for pioneering research, driving innovation and fostering collaboration across the global computational physics community.
The journal will offer article types that best serve the computational physics community, and a final list will be determined following consultation with the Editor-in-Chief.
Editorial Team
Editor-in-Chief
Xiaosong Li
Prof. Xiaosong Li is the Larry R. Dalton Endowed Chair in Chemistry and the Associate Dean for Research in the College of Arts & Sciences at the University of Washington. He earned his Ph.D. in Chemistry from Wayne State University in 2003 and subsequently served as a postdoctoral researcher at Yale University before joining the University of Washington in 2005. In addition to his faculty role in the Department of Chemistry and the Department of Materials Science and Engineering, Prof. Li is a lab fellow at Pacific Northwest National Laboratory.
Prof. Li is internationally renowned for his contributions to time-dependent quantum theory and relativistic electronic structure methods. His interdisciplinary research bridges the fields of physics, chemistry, materials science, mathematics, and computer science. Over his career, he has published 300 peer-reviewed articles and developed several widely used computational software packages.
Prof. Li’s achievements have been recognized with prestigious honors, including a Sloan Research Fellowship, the National Science Foundation CAREER Award, the American Chemical Society Jack Simons Award in Theoretical Physical Chemistry, and the University of Washington Distinguished Teaching Award. Prof. Li has been recognized as a Fellow of the American Physical Society and the Royal Society of Chemistry and is an elected member of the Washington State Academy of Sciences.Subscribe to our Newsletter
ISSN: 3066-0017 | CODEN: ACPAHU