Explore Mathematical Sciences With AIP Publishing

Discover our extensive collection of journals, conference proceedings, and books that span mathematical sciences 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 mathematical sciences:

Journal of Mathematical Physics

Utilizing mathematics methods to drive physics forward

Journal Impact Factor: 1.2*
Cited Half-Life: 24.5 Years*
CiteScore™: 2.2^†
Avg. Views/Article Per Year (2024-2025): 110+
Days to 1st Decision (Avg.): 98^‡
Days to Acceptance (Avg): 225^‡
Days to Publish (Avg.): 277^‡
Topics covered: Mathematical physics, quantum mechanics, statistical physics, classical mechanics
Article types: Articles, Reviews
Access type: Hybrid open access
Indexed In: Web of Science, Scopus

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Chaos

An Interdisciplinary Journal of Nonlinear Science

Journal Impact Factor: 3.3*
Cited Half-Life: 5.6 Years*
CiteScore™: 5.1^†
Avg. Views/Article Per Year (2024-2025): 230+
Days to 1st Decision (Avg.): 31^‡
Days to Acceptance (Avg): 107^‡
Days to Publish (Avg.): 130^‡
Topics covered: Nonlinear dynamics, mathematical physics, interdisciplinary physics, statistical physics, society and organization
Article types: Articles, Reviews, Perspectives
Access type: Hybrid open access
Indexed In: Web of Science, Scopus

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Interdisciplinary Journals

Journals at the intersection of mathematical sciences and related disciplines:

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 Computational Physics

Showcasing the transformative impact of computation across all physical science

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APL Engineering Physics

Physicists study the world as it is. Engineering physicists create the world that has never been

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The Journal of Chemical Physics

The most cited in chemical physics

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AIP Advances

A peer-reviewed, open access journal covering all areas of the physical sciences

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APL Quantum

Bridging fundamental quantum research with technological applications

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APL Machine Learning

Machine Learning for Applied Physics
Applied Physics for Machine Learning

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More Journals to Explore

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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

A three-dimensional memristor-based hyperchaotic map for pseudorandom number generation and multi-image encryption

External stimulation can change a memristor’s resistance state, and those variations can be transformed into pseudorandom sequences. This property makes it possible to construct complex and reliable pseudorandom-number generators for encryption.

Basic fractional nonlinear-wave models and solitons Editor’s Pick

This review article provides a concise summary of one- and two-dimensional models for the propagation of linear and nonlinear waves in fractional media. The basic models, which originate from Laskin’s fractional quantum mechanics and more experimentally relevant setups emulating fractional diffraction in optics, are based on the Riesz definition of fractional derivatives, which are characterized by the respective Lévy indices.

Synchronization in scale-free neural networks under electromagnetic radiation

The functional networks of the human brain exhibit the structural characteristics of a scale-free topology, and these neural networks are exposed to the electromagnetic environment. In this paper, we consider the effects of magnetic induction on synchronous activity in biological neural networks, and the magnetic effect is evaluated by the four-stable discrete memristor.

Turing pattern theory on homogeneous and heterogeneous higher-order temporal network system

The study develops a theoretical framework for understanding Turing patterns in higher-order temporal networks. It considers both homogeneous and heterogeneous network structures to determine how higher-order interactions and changing connections influence pattern formation.

Spatiotemporal dynamics of syphilis in Xinjiang via a demographic-geographic data-validated reaction diffusion model

To explore the spatiotemporal transmission dynamics of syphilis in Xinjiang Province, we establish a multi-stage infection syphilis reaction-diffusion model that incorporates demographic and geographic data. The well-posedness of the system is studied.

Bosonic rational conformal field theories in small genera, chiral fermionization, and symmetry/subalgebra duality

A unitary bosonic rational conformal field theory in 1+1 dimensions can be classified using a genus defined by its central charge and a unitary modular tensor category. The latter describes the associated 2+1-dimensional topological quantum field theory.

Roadmap on photonic metasurfaces

This roadmap surveys photonic metasurfaces through a collection of perspectives covering major applications, technological foundations, and outstanding challenges. Each contribution reviews its area’s current state and considers likely future directions.

Exceptional points in non-Hermitian systems: Applications and recent developments

Non-Hermitian physics has expanded rapidly because many physical systems naturally involve gain, loss, or nonreciprocal behavior. The article reviews recent developments involving exceptional points and their applications across non-Hermitian platforms.

A comprehensive electron wavefunction analysis toolbox for chemists, Multiwfn

Electron wavefunctions contain extensive information about chemical systems but are intrinsically high-dimensional and difficult to interpret directly. Wavefunction-analysis techniques extract chemically meaningful properties from these functions and related quantities.

Direct computations of viscoelastic moduli of biomolecular condensates

Biomolecular condensates behave as viscoelastic materials whose complex shear moduli depend on time and molecular sequence. The authors show that these moduli can be calculated directly by extending the Rouse model to incorporate information about molecular interactions.

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