Explore Computational Physics With AIP Publishing

Discover our extensive collection of journals, conference proceedings, and books that span computational physics and its intersections with other disciplines.

As your partner in publishing, whether you’re just beginning your journey or have years of experience, we’re here to provide you with the best home for your work and the tools and resources you need to elevate and amplify your research.

Featured Journals

Journals dedicated to research in computational physics:

APL Computational Physics

Showcasing the transformative impact of computation across all physical science

68 Days avg. time to acceptance‡
11 Days avg. time to first decision‡
Topics covered: 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
Article types: Articles, Perspectives, Reviews, Roadmaps, Tutorials
Access type: Gold open access

Now Open for Submissions

APL Machine Learning

Machine Learning for Applied Physics
Applied Physics for Machine Learning

850+ Avg. views/article annually
92 Days avg. time to acceptance^‡
36 Days avg. time to first decision^‡
Topics covered: Machine learning, artificial intelligence, neural network dynamics, data mining, signal processing, robotics
Article types: Articles, Reviews, Perspectives, Tutorials
Access type: Gold open access

Browse Open Special Topics

Interdisciplinary Journals

Journals at the intersection of computational physics and related disciplines:

The Journal of Chemical Physics

The most cited in chemical physics

Browse Open Special Topics

Chemical Physics Reviews

High-impact research and authoritative reviews in chemical physics

Browse Open Special Topics

Journal of Applied Physics

Significant results in cutting-edge applied physics

Browse Open Special Topics

Applied Physics Letters

Shaping the future of applied physics for over 60 years

Browse Open Special Topics

APL Quantum

Bridging fundamental quantum research with technological applications

Browse Open Special Topics

AVS Quantum Science

A truly interdisciplinary journal that reaches into a breadth of research areas through the foundations of quantum science

Browse Open Special Topics

More Journals to Explore

Browse all AIP Publishing and partner titles

Featured AIP Conference Proceedings

AIP Conference Proceedings has been a trusted publishing partner for more than 40 years, delivering fast, affordable, and versatile publishing for maximum exposure of your meeting’s key research.

Browse all AIP Conference Proceedings

Highlighted Research

SCAN meta-GGA, strong correlation, symmetry breaking, self-interaction correction, and semi-classical limit in density functional theory: Hidden connections and beneficial synergies?

The SCAN (strongly constrained and appropriately normed) meta-generalized gradient approximation (meta-GGA) for the exchange–correlation energy was constructed to satisfy 17 exact mathematical constraints and to fit non-bonded, normally correlated appropriate norms. It provides an excellent predictive description of the ground-state energies and electron spin densities of normally correlated systems in the absence of strong self-interaction error as in most sp atoms and covalent molecules at equilibrium geometries.

Dissipative preparation of many-body quantum states: Toward practical quantum advantage

While dissipation has traditionally been viewed as an obstacle to quantum coherence, it is increasingly recognized as a powerful computational resource. Dissipative protocols can prepare complex many-body quantum states by leveraging engineered system–environment interactions.

PhysBERT: A text embedding model for physics scientific literature

The specialized language and complex concepts in physics pose significant challenges for information extraction through Natural Language Processing (NLP). Central to effective NLP applications is the text embedding model, which converts text into dense vector representations for efficient information retrieval and semantic analysis.

Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

The massive use of artificial neural networks (ANNs), increasingly popular in many areas of scientific computing, rapidly increases the energy consumption of modern high-performance computing systems. An appealing and possibly more sustainable alternative is provided by novel neuromorphic paradigms, which directly implement ANNs in hardware.

PLUMED Tutorials: A collaborative, community-driven learning ecosystem

In computational physics, chemistry, and biology, the implementation of new techniques in shared and open-source software lowers barriers to entry and promotes rapid scientific progress. However, effectively training new software users presents several challenges.

3-center and 4-center 2-particle Gaussian AO integrals on modern accelerated processors

We report an implementation of the McMurchie–Davidson (MD) algorithm for 3-center and 4-center 2-particle integrals over Gaussian atomic orbitals (AOs) with low and high angular momenta l and varying degrees of contraction for graphical processing units (GPUs). This work builds upon our recent implementation of a matrix form of the MD algorithm that is efficient for GPU evaluation of 4-center 2-particle integrals over Gaussian AOs of high angular momenta (l ≥ 4) [A. Asadchev and E. F. Valeev, J. Phys. Chem. A 127, 10889–10895 (2023)].

Simulating spin biology using a digital quantum computer: Prospects on a near-term quantum hardware emulator

Understanding the intricate quantum spin dynamics of radical pair reactions is crucial for unraveling the underlying nature of chemical processes across diverse scientific domains. In this work, we leverage Trotterization to map coherent radical pair spin dynamics onto a digital gate-based quantum simulation.

Machine learning unveils multiple Pauli blockades in the transport spectroscopy of bilayer graphene double-quantum dots

Recent breakthroughs in the transport spectroscopy of 2-D material quantum-dot platforms have engendered a fervent interest in spin–valley qubits. In this context, Pauli blockades in double quantum dot structures form a crucial basis for multi-qubit initialization and manipulation.

Clock synchronization characterization of the Washington DC metropolitan quantum network (DC-QNet)

Quantum networking protocols relying on interference and precise time-of-flight measurements require high-precision clock synchronization. This study describes the design, implementation, and characterization of two optical time transfer methods in a metropolitan-scale quantum networking research testbed.

Electric field sensitivity of molecular color centers

Molecular color centers with
ground states are promising candidates for quantum sensing of electric fields. These molecules have an electronic structure similar to solid state color centers, but they allow for processing modalities that permit direct interfacing with an analyte.

Upcoming Conferences

You’ll find AIP Publishing’s editors and journal managers at these upcoming conferences and events. We hope to see you there!

More to Explore

Publishing Academy
Find resources to help you navigate key topics related to publishing and peer review, openness and reproducibility of science, and gaining visibility for your research.

Special Topics for Open Submissions
Browse our Special Topics now accepting papers that capture new insights into emerging fields and disciplines across the physical sciences.

*Data from the 2024 Journal Citation Reports® Science Edition (Clarivate, 2025).

†CiteScore™ 2024 for AIP Publishing Journals Calculated by Scopus

‡Publication speeds vary depending on article type