Implication of using Data Science in Nuclear Physics for the Advancement of Nigerian Society

Authors

Keywords:

Data science, Nuclear physics, Machine learning, Artificial intelligence, Nuclear data, Nigeria, Big data, Predictive modeling

Abstract

The Increasing complexity of nuclear physics experiments has generated unprecedented volumes of data, creating opportunities for data-driven approaches that complement conventional theoretical and experimental methods. This review examines recent advances in the application of data science—including machine learning, artificial intelligence, statistical modelling, and big-data analytics—to nuclear physics, with particular emphasis on their relevance to Nigeria's emerging nuclear science ecosystem. The review synthesizes published literature on the use of data science for reactor monitoring, radiation detection, nuclear medicine, particle physics, and predictive modelling, and discusses how these approaches can improve research efficiency, safety, and decision-making. It further evaluates the opportunities and challenges associated with adopting data-driven methodologies in Nigeria, including limitations in computational infrastructure, human capacity, access to nuclear data, and research collaboration. The review argues that strategic investment in digital infrastructure, advanced computing, workforce development, and international partnerships would significantly enhance Nigeria's capability to apply modern data science techniques in nuclear research and related applications. Integrating data science with nuclear physics has the potential to strengthen scientific innovation, improve healthcare and environmental monitoring, support evidence-based policymaking, and contribute to sustainable national development.

Dimensions

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Published

2026-08-07

How to Cite

Implication of using Data Science in Nuclear Physics for the Advancement of Nigerian Society (D. Dahuwa, J. Anaegbu, A. Ibrahim, L. Abba, & S. Lawal, Trans.). (2026). Nigerian Journal of Applied Physics, 2(2), 222-227. https://doi.org/10.62292/njap-v2i2-2026-91

Issue

Vol. 2 No. 2 (2026): Nigerian Journal of Applied Physics - Vol. 2 No. 2

Section

Articles
Copyright & Licensing

Copyright (c) 2026 Dahiru Dahuwa, Jude Anaegbu, Abdu Ibrahim, Lawal Abba, Sadik Lawal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Implication of using Data Science in Nuclear Physics for the Advancement of Nigerian Society (D. Dahuwa, J. Anaegbu, A. Ibrahim, L. Abba, & S. Lawal, Trans.). (2026). Nigerian Journal of Applied Physics, 2(2), 222-227. https://doi.org/10.62292/njap-v2i2-2026-91

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