Artificial Intelligence, Machine Learning and Materials Informatics

This session explores the use of artificial intelligence, machine learning and data science in materials research and engineering. It covers materials informatics, predictive modelling, property estimation, high-throughput screening, automated experimentation, digital twins, database development and intelligent manufacturing. 

Abstract Scope and Participation 

Materials scientists, data scientists, engineers and interdisciplinary teams are invited to present their work. Abstracts may address algorithm development, dataset quality, model validation, explainable AI, integration with experiments or simulations and data-driven approaches that accelerate materials discovery, process optimization and industrial decision-making.