Symposium B-3
New Development in Material Researches Driven by Data, Calculation, and AI Robot
Scope
In recent years, it has become possible to predict a huge number of new material candidates through material exploration using AI. In addition, use of autonomous robots to synthesize and explore these candidate materials in a short period of time have been started. Based on this background, this symposium will focus on new developments in material development using these methods (data-driven, computation-driven, AI robot-driven, materials informatics, high-throughput material synthesis and evaluation, materials digitalization).
Topics
- data/calculation/AI robot- driven
- Materials informatics
- High-throughput materials synthesis and evaluation
- Materials DX
Invited Speakers
- Pol Torres Alvarez, Eurecat, Technology Centre of Catalonia: Graph Neural Network-Based Surrogate Model of Finite-Element Heat Transfer Simulations
- Toshiaki Tsuji, Saitama Univ.: Imitation Learning of Contact-Rich Tasks for Automation
- Toshihiko Shimizu, Kobe City College of Technology: Touch-Driven Intelligence: Experimental Knowledge through Embodied Robotics
- Kanta Ono, The University od Osaka: Data Driven and Robotic Autonomous Experimentation for Materials Discovery
Organizers
- Representative
Katsuya Teshima - Shinshu University
- Correspondence
Tetsuya Yamada - Shinshu University
yamadat[at]shinshu-u.ac.jp
- Gasidit Panomsuwan
- Kasetsart University
- Rojana Pornprasertsuk
- Chulalongkorn University
- Oi Lun Helena Li
- Pusan National University
- Hideki Tanaka
- Shinshu University
- Chayanaphat CHOKRADJAROEN
- Shinshu University


