• Tyagaiah Pottabattini

The increasing complexity of physics research demands efficient methods for communicating scientific findings with precision and clarity. Artificial intelligence (AI)–based writing tools have emerged as supportive technologies for drafting, editing, and structuring research manuscripts. This paper investigates the effectiveness of AI tools in assisting the preparation of physics research papers, focusing on writing quality, efficiency, reliability, and ethical considerations. Through analytical evaluation of AI-assisted workflows and qualitative assessment of manuscript development stages, this study demonstrates that AI tools significantly enhance writing efficiency and structural coherence. However, limitations related to conceptual accuracy and disciplinary depth necessitate strong human oversight. The study concludes that AI tools function best as collaborative assistants rather than autonomous authors in physics research writing.

Artificial Intelligence, Physics Research, Academic Writing, Scientific Communication, Research Ethics

"Artificial Intelligence–Assisted Writing in Physics Research: Effectiveness, Reliability, and Ethical Integration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.377-381, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06073.pdf

"Artificial Intelligence–Assisted Writing in Physics Research: Effectiveness, Reliability, and Ethical Integration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp377-381, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06073.pdf