Preface
ICE3MT provides a global platform for researchers, engineers, academicians, students, and professionals to exchange innovative ideas, share research insights, and engage in meaningful discussions on emerging trends and challenges in areas such as materials science, surface engineering, metal finishing, nanotechnology, sustainable manufacturing processes, mechanics, energy systems, process modelling, computational materials science, artificial intelligence, optimization, and robotics and automation.The ICE3MT2025 conference attracted about 250 paper submissions from researchers worldwide.Following a rigorous peer-review process conducted in accordance with the guidelines of the publisher, EDP Sciences -Web of Conferences, 78 high-quality papers, with an acceptance rate of approximately 32%, were selected for oral presentation and inclusion in these proceedings.
Authors
- N. Sivasankara Reddy
- P. Uma Maheshwera Reddy
Publication Details
- Journal
- Springer Link (Chiba Institute of Technology)
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1051/epjconf/202634500001/pdf
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00