Conference Logo ProgramMaster Logo
Conference Tools for TMS Specialty Congress 2026
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools

About this Symposium

Meeting TMS Specialty Congress 2026
Symposium 4th World Congress on Artificial Intelligence in Materials & Manufacturing (AIM 2026)
Organizer(s) Ali Riza Durmaz, Fraunhofer Institute Iwm
Scope The 4th World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2026) marks a significant milestone in advancing the role of artificial intelligence (AI) within materials science, engineering, and manufacturing. Building upon the success of its predecessors, AIM 2026 gathers stakeholders from academia, industry, and government to delve into the integration of AI in research and manufacturing. The congress aims to address critical issues and chart future pathways for AI implementation, fostering collaboration and innovation in the field of materials science and engineering.

The 4th World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2026) is a part of TMS Specialty Congress 2026 and featured along with three other co-located events:

-The 4th World Congress on High Entropy Alloys (HEA 2026)
-The inaugural 1st World Congress on Reproducibility, Qualification, and Standards Development of Additive Manufacturing and Beyond (RQSD 2026)
-CSM-TMS Energy Materials 2026

Explore your technical interest in a focused, small event environment, while also having access to cross-disciplinary learning and collaboration opportunities with aligned materials communities.
Submit an Abstract Today by the deadline of December 1, 2025.

Abstracts are requested on AI topics related to materials science and engineering and manufacturing processes, including:

Applied AI for Manufacturing
Physics-Grounded AI for Multi-scale and/or Mult-objective Materials Modeling
AI-Driven Materials Discovery & Design
Sustainable & Green Materials via AI
AI-Assisted Self-Driving Laboratories
AI for Management, Curation, and Enrichment of Materials Data
Computer Vision for Materials Science and Engineering
Large (Vision and Reasoning) Language Models (LLMs/VLMs/RLMs) for Materials and Manufacturing
Foundational Models in Materials Informatics
Materials Data Mining and Extraction of Causal or Symbolic Relationships

See the official conference website at www.tms.org/specialtycongress2026/AIM2026 for further sub-topic details.

Abstracts Due 12/01/2025
Proceedings Plan Undecided

IF YOU WOULD LIKE TO SUBMIT AN ABSTRACT . . .

. . . you are welcome to do so. Just click on the button. Note: To submit an abstract, you must be registered and logged into the system.


Questions about ProgramMaster? Contact programming@programmaster.org | TMS Privacy Policy | Accessibility Statement