Communication in Physical Sciences (CPS)

Communication in Physical Science is a peer-reviewed journal published by the Faculty of Physical Sciences, University of Nigeria. Previously known as the Journal of Physical Sciences, this journal has evolved into a platform for disseminating high-quality research in all areas of science. The journal is fully open access, making scientific knowledge freely available to the global community without any subscription barriers. It invites submissions from a broad spectrum of scientific disciplines, ensuring that both foundational and innovative research can reach an extensive audience.To foster the exchange of novel ideas, research findings, and advancements in physical, biological, environmental, geological, and technological sciences. To support the dissemination of interdisciplinary research that bridges multiple scientific fields. To contribute to scientific progress by promoting the publication of peer-reviewed, open-access research accessible to the global community. To encourage collaboration among scientists, researchers, and practitioners through the publication of impactful studies. Scope: The journal covers a broad range of scientific disciplines and invites contributions in the following areas: Physical Sciences: This includes physics, chemistry, material science, nuclear science, and applied physical sciences. Research that advances understanding in areas such as thermodynamics, quantum mechanics, nanomaterials, and nuclear energy is particularly welcomed.

Communication in Physical Sciences (CPS) is :-

• International, Peer-Reviewed, Open Access, Refereed, physics, chemistry, material science, nuclear science, and applied physical sciences. Research that advances understanding in areas such as thermodynamics, quantum mechanics, nanomaterials, nuclear energy is particularly welcomed, Environmental Sciences, the journal publishes studies on pollution control, sustainable resource management, biodiversity conservation, climate science, biochemistry, molecular biology, biotechnology, applied mathematics, data science, artificial intelligence, machine learning, computational modeling in the physical sciences , Online or Print , Bi-Annual Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2645-2448, E-ISSN: 2705-2397, Established: 2015,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE