JUNE 9-11, 2025 | AUSTIN, TX
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  AI, Modeling, and Simulation  
for Advanced Materials Design  



The use of AI and ML have revolutionized the way new materials are being developed and it has shown to be the most effective when combined with physics based simulation models. Especially to boost the accuracy level of the simulation of materials and related material properties AI/ML techniques play a key role. In this symposium the latest developments in this field will be presented and discussed with a focus on relevant cases from industry.

Submit Abstract - due January 24 »

Please first review the information for authors — abstract submission guidelines.


Topics & Application Areas
  • AI, Modeling & Simulation for Materials Design
  • Materials Informatics
  • Machine Learning
  • Autonomous Research Approaches
  • Quantitative Structure Property Relationship (QSAR) Methods
  • Data Science
  • Intersection of Simulation and Experimentation
  • Method Development
  • Battery Application
  • Sustainability Application
  • Other
 

Symposium Co-Chairs


Mathew D. Halls

Mathew D. Halls

Senior Vice President, Materials Science

Schrödinger Inc.

Nobuyuki Matsuzawa

Nobuyuki Matsuzawa

Executive Engineer

Panasonic Industry Co, Japan


Jan-Willem Handgraaf

Jan-Willem Handgraaf

Senior Technical Product Manager

Siemens Digital Industries Software


Key Speakers Include


Hiromasa Kaneko

Hiromasa Kaneko

Senior Assistant Professor

Meiji University, Japan

Boris Kozinsky

Boris Kozinsky

Professor

Harvard University


Michael Webb

Michael Webb

Assistant Professor

Princeton University

Timothy Gardner

Timothy Gardner

Chief Informatics Officer

Cambium


Sak Arumugam

Sak Arumugam

Senior Product Manager

Ansys

Steve Edkins

Steve Edkins

Director of Strategy and Operations

Citrine Informatics



 
 

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