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

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
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article

Preface

N. Sivasankara Reddy, P. Uma Maheshwera Reddy
Springer Link (Chiba Institute of Technology)
Machine Learning in Materials Science
article

Preface

N. Sivasankara Reddy, P. Uma Maheshwera Reddy
article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 93%
Machine Learning in Materials Science
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