Journal of Computational
Mathematics and Physics

  • E-ISSN: XXXX-XXXX
  • P-ISSN: XXXX-XXXX
Journal of Computational Mathematics and Physics poster

About the journal

The Journal of Computational Mathematics and Physics (JCMP) is an international, peer-reviewed, open-access journal that publishes high-quality research in computational mathematics, mathematical physics, and related interdisciplinary fields.

The journal provides a platform for researchers to share innovative theoretical, computational, and applied contributions while promoting excellence in scientific research and scholarly communication.

About the journal →

Open Access Policy

Journal of Computational Mathematics and Physics provides open access to its published articles, allowing readers to freely access, read, download, and share research work for academic and non-commercial purposes.

Access model: Diamond Open Access. Authors are not required to pay any fees for submission, peer review, processing, or publication.

View full aims & scope → Article processing charges →

Editorial leadership

Full editorial board →

Editor-in-Chief

Prof. Salvatore Capozziello

Prof. Salvatore Capozziello

Università di Napoli Federico II / Scuola Superiore Meridionale, Napoli, Italy

Executive Editor

Prof. Ghulam Mustafa

Prof. Ghulam Mustafa

Zhejiang Normal University, Jinhua, China

Executive Editor

Prof. Farruh Atamurotov

Prof. Farruh Atamurotov

Inha University in Tashkent, Tashkent, Uzbekistan

Latest Articles

Current issue →

Exact Asymptotically Flat TraversableWormholes in Rastall Teleparallel Gravity

Khilola Khudarganova , Shakhlo Jabbarova

We construct static, spherically symmetric traversable wormholes in the teleparallel version of Rastall gravity, in which the divergence of the matter energy-m...

Learn more →

Revisit of some Methods for Generating Compact Star Solutions in General Relativity: A Comparative Survey

Aiman Fatima, Alina, Nimra Jameel, Raazia Bushra

Exact solutions of the Einstein field equations for static fluid spheres are important in the study of compact stars. However, it is often difficult to obtain...

Learn more →

An Uncertainty-Aware Physics-Informed Neural Network Framework for Nonlinear Fractional Partial Differential Equations in Mathematical Physics

Masood Rauf khan

Fractional partial differential equations (FPDEs) provide effective mathematical descriptions of memory, hereditary behavior, nonlocal transport, anomalous dif...

Learn more →

Applications of Adjoint Operator

Quratulain, Zunaira Liaqat, Usman Munir, Raazia Bushra

Adjoint operators play a pivotal role at the intersection of abstract mathematics and real-world problem solving. This paper provides a comprehensive journey t...

Learn more →

An Uncertainty-Aware Physics-Informed Neural Network Framework for Nonlinear Fractional Partial Differential Equations in Mathematical Physics

Muhammad Umar

This study develops a stochastic fractional extension of the two-mode Nizhnik–Novikov– Veselov (TMNNV) equation and investigates the combined influence of memo...

Learn more →

Anisotropic Compact Stars via Karmarkar Embedding Condition in f(R, T) Gravity: New Exact Solutions and Physical Analysis

Muhammad Zeshan

In this paper we construct new exact anisotropic compact star solutions within the framework of fRT gravity, a widely studied extension of general relativity i...

Learn more →