Spanning Diverse Areas in Computational Physics Research

Learn more from our Editor-in-Chief, Prof. Li, about the scope and articles accepted for our new open access journal View in Browser SUBMIT AN ARTICLE MANAGE MY ALERTS ABOUT THE JOURNAL APL Computational Physics New Gold Open Access Journal Showcasing the Transformative Impact of Computation Across All Physical Sciences APL Computational Physics is a new, dynamic gold 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 features the powerful impact of computation across the physical sciences, including, but not limited to: Computational Simulations and Applications Computational Techniques and Methodologies Multiscale and Multiphysics Modeling Algorithmic and Numerical Advances Big Data and Predictive Computation Quantum Computing in Physical Sciences Validation, Verification, and Uncertainty Quantification High-Performance Computation Experimental Design and Computational Support Software and Library Tutorials New Software Announcements 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. Check out the diverse topics that will be covered and a sampling of the types of articles by category below. LEARN MORE > Watch as Prof. Xiaosong Li, Editor-in-Chief, introduces APL Computational Physics COMPUTATIONAL SIMULATIONS AND APPLICATIONS Atomistic Origin of Diverse Charge Density Wave States in CsV3⁢Sb5 Binhua Zhang, Hengxin Tan, Binghai Yan, Changsong Xu   Phys. Rev. Lett. READ MORE > COMPUTATIONAL TECHNIQUES AND METHODOLOGIES Green/WeakCoupling: Implementation of fully self-consistent finite-temperature many-body perturbation theory for molecules and solids Sergei Iskakov, Chia-Nan Yeh, Pavel Pokhilko, Yang Yu, et al. Computer Physics Communications READ MORE > MULTISCALE AND MULTIPHYSICS MODELING Accessing the electronic structure of liquid crystalline semiconductors with bottom-up electronic coarse-graining Chun-I Wang, J. Charlie Maier, Nicholas E. Jackson Chem. Sci. READ MORE > ALGORITHMIC AND NUMERICAL ADVANCES Efficient evaluation of the Breit operator in the Pauli spinor basis Shichao Sun, Jordan Ehrman, Qiming Sun, Xiaosong Li J. Chem. Phys. READ MORE > BIG DATA AND PREDICTIVE COMPUTATION Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte using machine-learning interatomic potentials Yongliang Ou, Yuji Ikeda, Lena Scholz, Sergiy Divinski, et al. Phys. Rev. Materials READ MORE > QUANTUM COMPUTING IN PHYSICAL SCIENCES TETRIS-ADAPT-VQE: An adaptive algorithm that yields shallower, denser circuit Ansätze Panagiotis G. Anastasiou, Yanzhu Chen, Nicholas J. Mayhall, Edwin Barnes, et al. Phys. Rev. Research READ MORE > VALIDATION, VERIFICATION, AND UNCERTAINTY QUANTIFICATION Overdestabilization vs Overstabilization in the Theoretical Analysis of f-Orbital Covalency Andrew J. Jenkins, Henry S. La Pierre, Bess Vlaisavljevich, Xiaosong Li, et al. Journal of the American Chemical Society READ MORE > HIGH-PERFORMANCE COMPUTATION Small tensor product distributed active space (STP-DAS) framework for relativistic and non-relativistic multiconfiguration calculations: Scaling from 109 on a laptop to 1012 determinants on a supercomputer Hang Hu, Shiv Upadhyay, Lixin Lu, Xiaosong Li, et al. Chem. Phys. Rev. READ MORE > EXPERIMENTAL DESIGN AND COMPUTATIONAL SUPPORT Experimental Deep Reinforcement Learning for Error-Robust Gate-Set Design on a Superconducting Quantum Computer Yuval Baum, Mirko Amico, Sean Howell, Michael Hush, et al. PRX Quantum READ MORE > NEW SOFTWARE ANNOUNCEMENTS The ORCA quantum chemistry program package Frank Neese, Frank Wennmohs, Ute Becker, Christoph Riplinger J. Chem. Phys. READ MORE > Tell Us What You Think! Did you like this email? Yes > No >  Follow us on social media Copyright © 2025 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this email because you have opted-in to receive alerts from us. To guarantee delivery of this email please add journals@aip-info.org to your address book and safe senders list. If you no longer wish to receive emails from us then please unsubscribe or amend your settings.