Modern Approaches to Energy Physics: From Particle Interactions to Sustainable Technologies

Authors

  • Ali Raza Assistant Professor, Physics, Government Degree College Thari Mirwah, Khairpur, Sindh Pakistan Author
  • Murtaza Hussain Shar MPhil & Assistant Professor Mathematics at GDC Thari Mirwah Author
  • Gada Hussain Narejo M. Phil. in Material Science and Engineering Beijing University of Chemical Technology, China Author

DOI:

https://doi.org/10.53762/grjnst.04.02.25

Keywords:

energy efficiency, particle interactions, quantitative analysis, renewable energy, structural modeling, sustainable technology

Abstract

This study examined modern approaches in energy physics by linking particle interaction modeling with the development of sustainable energy technologies. The research aimed to evaluate how physics-based models influenced energy efficiency, renewable energy integration, and system optimization. A quantitative research design was employed using a sample size of 320 respondents, including physicists, engineers, and energy professionals. Data was analyzed through descriptive statistics, correlation analysis, regression modeling, and structural equation modeling. The results indicated that particle interaction modeling significantly improved energy efficiency (β = 0.47, p < 0.001), enhanced renewable energy integration (β = 0.42, p < 0.001), and supported system optimization (β = 0.39, p < 0.001). Correlation findings revealed moderate positive relationships among all variables, with values ranging from 0.47 to 0.55. The structural model demonstrated good fit indices (CFI = 0.95, RMSEA = 0.05, χ²/df = 2.10), confirming the validity of the proposed framework. These findings emphasized that integrating particle physics principles with modern energy systems improved performance, efficiency, and sustainability outcomes. The study concluded that physics-informed approaches provided a reliable pathway for enhancing renewable energy systems and addressing global energy challenges through innovative and data-driven solutions.

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Published

2026-04-26

Issue

Section

Articles