Artificial Intelligence and Materials Informatics, organized by the ASM Materials Informatics Technical Committee

Tuesday, September 29, 2026: 1:00 PM-2:00 PM
308B (Québec City Convention Centre)
Artificial Intelligence (AI) is transforming materials science and manufacturing, driving advancements in discovery, design, and optimization. The Materials Informatics Symposium at IMAT 2026 will focus on practical applications of these technologies, including the design of materials, microstructure quantification, high-throughput experimentation, research automation, design via generative AI, and manufacturing process optimization. We invite presentations that demonstrate the impact of AI as an enabling technology in applications for materials science and engineering. Dr. James Saal, PhD, Citrine Informatics
1:00 PM
"Vibe-code" Your Materials Testing Machine: AI-Native Configuration and Automation with MCP
Mr. Rafayel Ghasabyan, TACTUN; Ms. Arev Hambardzumyan, TACTUN
1:20 PM
Digital Quantification of Surface–Biofilm Interactions via Persistent Homology: Beyond Conventional Absorbance Measurements
Prof. Hideyuki Kanematsu, The University of Osaka, BEL Inc.; Prof. Akiko Ogawa, National Institute of Technology, Suzuka College; Dr. Michiko Yoshitake, Nagoya University; Prof. Takeshi Bessho, Nagoya University; Prof. Ryoichi Ichino, Nagoya University; Prof. Takayoshi Nakano, Graduate School of Engineering, The University of Osaka
1:40 PM
A Framework for Efficient Part-Scale Microstructure Prediction in Laser Powder Bed Ti-6Al-4V Using Combined Physics-Based Modeling and Machine Learning Surrogate Methods
Dr. Anthony G. Spangenberger, Worcester Polytechnic Institute; Prof. Diana A. Lados, Worcester Polytechnic Institute
See more of: Digital Transformation, Sustainability, and Emerging Technologies
<< Previous Session | Next Session >>