Aims and Scope

Aims

The International Journal of Fundamental Physical Sciences (IJFPS) provides an international forum for rigorous and original research in fundamental and applied physical sciences. The journal aims to publish work that advances scientific understanding through sound theory, reliable observation or experiment, careful quantitative analysis, reproducible computation, or the development of useful research methods.

IJFPS particularly welcomes studies that establish meaningful connections among theory, computation, observation, and experiment or that apply physical principles and methods to interdisciplinary scientific problems.

Originality, methodological soundness, transparency, relevance, and scientific value are the principal criteria for editorial consideration.

Types of Contributions

IJFPS considers theoretical, experimental, observational, computational, and methodological studies. The journal publishes the following article types:

  • Research Articles presenting substantial original findings;
  • Review Articles providing critical and authoritative analyses of established or emerging subjects;
  • Short Communications reporting concise but scientifically significant results;
  • Perspectives and Commentaries offering evidence-based scientific viewpoints;
  • Methods, Data, and Software Articles presenting validated methods, datasets, computational tools, or reproducible research resources; and
  • Special-Issue Articles addressing selected emerging or interdisciplinary topics.

Topical Coverage

Fundamental and Mathematical Physics

Classical and quantum mechanics, field theory, gravitation, relativity, statistical physics, thermodynamics, mathematical physics, and pure or applied mathematics with a clear and direct relationship to physical science.

Astronomy, Astrophysics, and Cosmology

Observational and theoretical astronomy, stellar and galactic astrophysics, exoplanets, astrochemistry, high-energy and multi-messenger astrophysics, cosmology, early-universe studies, large-scale structure, and the history of astronomy.

Atomic, Nuclear, Radiation, and Plasma Physics

Atomic and molecular physics, nuclear physics, radiation physics and applications, laboratory and astrophysical plasmas, plasma diagnostics, and fusion science.

Condensed Matter and Materials Physics

Solid-state physics, condensed-matter theory and experiment, materials science, transport phenomena, functional materials, nanostructures, and related characterization methods.

Optics, Photonics, Lasers, and Spectroscopy

Optical physics, photonics, quantum and nonlinear optics, laser science, spectroscopy, imaging, sensing, and related instrumentation.

Earth, Atmospheric, and Space Physics

Geophysics, physically oriented geology, atmospheric physics, space physics, space weather, remote sensing, and GIS applications supported by physical or quantitative analysis.

Biophysics and Chemical Physics

Physical approaches to biological and chemical systems, molecular modelling, transport processes, spectroscopy, thermodynamic analysis, and other studies in which physical principles constitute the central scientific framework.

Applied, Computational, and Engineering Physics

Instrumentation and measurement, physical modelling, computational physics, numerical simulation, engineering applications of physical principles, signal and image processing, sensing systems, and validated computational or algorithmic methods for physical applications.

Computer Science, Data Science, and Artificial Intelligence for Physical Systems

Scientific computing, numerical algorithms, data science, machine learning, artificial intelligence, high-performance computing, scientific databases, data visualization, inverse problems, pattern recognition, and signal or image analysis applied to physical, astronomical, materials, environmental, or engineering systems.

Contributions in computer science or data science should address a clearly defined physical-science problem, introduce or validate a scientifically meaningful method, or produce results of direct value to physical-science research.

Methods, Data, Software, and Reproducibility

Numerical methods, statistical frameworks, benchmark datasets, validated open-source scientific software, computational workflows, uncertainty analysis, model verification, and reproducibility studies of broad value to the physical-science community.

Scientific and Submission Expectations

Submissions should clearly define the scientific problem, explain the original contribution, provide sufficient methodological detail for evaluation and replication, and support conclusions with appropriate evidence and analysis.

Computational, data-science, and artificial-intelligence studies should describe the data sources, preprocessing procedures, algorithms, software environment, evaluation criteria, uncertainty, and validation methods in sufficient detail to support scientific assessment and reproducibility.

Where applicable, authors should provide a data, code, software, or materials-availability statement. Any substantive use of artificial intelligence tools in manuscript preparation, software development, data analysis, or image production must be disclosed in accordance with the journal’s relevant policies.

Scope Boundaries

Manuscripts primarily outside the physical sciences, papers lacking a clear scientific methodology or verifiable contribution, unsupported speculative claims, purely commercial descriptions, and routine applications without sufficient scientific novelty or validation are generally outside the scope of IJFPS.

General computer-science, data-science, artificial-intelligence, mathematics, engineering, biological, or chemical studies without a clear application or substantive contribution to physical science are outside the journal’s scope.