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.

Days to 1st Decision (Avg.): 11^‡
Days to Acceptance (Avg.): 68^‡
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 the physical sciences, validation, verification and uncertainty quantification, high-performance computing, experimental design and computational support, software and library tutorials, and new software announcements
Article types: Articles, Perspectives, Reviews, Roadmaps, Tutorials
Access type: Gold open access

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APL Machine Learning

Machine Learning for Applied Physics
Applied Physics for Machine Learning

Journal Impact Factor: 4.1*
Cited Half-Life: 2.0 Years*
CiteScore™: 6.5^†
Avg. Views/Article Per Year (2024–2025): 850+
Days to 1st Decision (Avg.): 36^‡
Days to Acceptance (Avg.): 92^‡
Days to Publish (Avg.): 116^‡
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

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Interdisciplinary Journals

Journals at the intersection of computational physics and related disciplines:

The Journal of Chemical Physics

The most cited in chemical physics

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Chemical Physics Reviews

High-impact research and authoritative reviews in chemical physics

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Journal of Applied Physics

Significant results in cutting-edge applied physics

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Applied Physics Letters

Shaping the future of applied physics for over 60 years

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APL Quantum

Bridging fundamental quantum research with technological applications

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AVS Quantum Science

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

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More Journals to Explore

Browse all AIP Publishing and partner titles

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.

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Highlighted Research

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

Dissipation, long treated as detrimental to quantum coherence, is increasingly being exploited as a computational tool. Protocols that engineer interactions between a quantum system and its environment can use it to prepare complex many-body states.

Easy attention: A simple attention mechanism for temporal predictions with transformers

The authors propose an “easy attention” mechanism to make transformer-based reconstruction and prediction of chaotic time series more robust. They argue that the usual query, key, and softmax operations are unnecessary for producing the attention scores that capture long-term temporal dependencies.

Accelerating defect predictions in semiconductors using graph neural networks

First-principles methods can reliably calculate point-defect energetics in semiconductors, but large supercells and advanced theory make them expensive. Machine-learning models that encode local defect environments can accelerate these predictions.

Completeness of atomic structure representations

The study examines how to represent collections of point particles, such as atoms in a molecule, in a way that is both complete and symmetry-preserving. This is especially important in scientific machine learning, where representations must support accurate physical relationships while respecting symmetries and conservation laws.

Accurate nuclear quantum statistics on machine-learned classical effective potentials

Nuclear quantum effects are increasingly recognized as important to hydrogen-bonded systems, including biomolecules. Even with available acceleration methods, incorporating them into complex-system simulations remains computationally costly, particularly at low temperatures.

Efficient computation of the long-range exact exchange using an extended screening function

The authors introduce an efficient Coulomb-potential screening method that approximates long-range exact exchange with accuracy close to an explicit full-range calculation. Their construction begins with the HSE complementary-error-function screening form and uses a first-order expansion in the screening parameter.

Enhancing quantum annealing in digital–analog quantum computing

Digital–analog quantum computing is presented as a promising approach to practical quantum computation. Its performance can be improved by allocating resources effectively between digital circuits and analog evolution.

How much time does a photon spend as an atomic excitation before being transmitted through a cloud of atoms?

When a photon moves through a cloud of two-level atoms, some of its energy can be held temporarily as a shared atomic excitation. This leads to the question of whether the duration of that excitation can be defined and measured meaningfully.

Two-dimensional altermagnets from high throughput computational screening: Symmetry requirements, chiral magnons, and spin-orbit effects

The authors perform a high-throughput search for two-dimensional altermagnets using the Computational 2D Materials Database. They find that two-dimensional systems face stricter symmetry requirements than bulk materials and identify seven database entries that satisfy them.

Valley polarization in two-dimensional zero-net-magnetization magnets

Two-dimensional magnets with zero net magnetization could enable dense, ultrafast valleytronic devices because they produce no stray field and support terahertz-scale dynamics. The principal classes considered are PT-symmetric antiferromagnets, altermagnets, and fully compensated ferrimagnets.

Imaging nanoscale carrier, thermal, and structural dynamics with time-resolved and ultrafast electron energy-loss spectroscopy

Time-resolved and ultrafast electron energy-loss spectroscopy is emerging as a way to measure photoexcited carriers, lattice motion, and near-fields from femtosecond to microsecond timescales. In specialized scanning-transmission or ultrafast electron microscopes, it can directly image carriers, lattice vibrations, and heat dissipation after optical excitation or applied bias.

Determination of exchange coupling constants in the electronic ground and excited states of molecular multi-spin systems

Interactions between unpaired electrons determine the magnetic behavior and potential uses of molecular materials. Controlling these interactions in organic multi-spin systems is therefore important for molecular spintronics and for designing materials with tailored magnetic properties.

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*Data from the 2025 Journal Citation Reports® Science Edition (Clarivate, 2026).
^†CiteScore™ 2025 for AIP Publishing Journals Calculated by Scopus.
^‡Publication speeds vary depending on article type.