Workshop
Bridging Human Expertise, Intelligent Agents and Algorithms for Autonomous Science
- , Starts in 3 days
- Online
- Session 1 ·
- Session 2 ·
About
This MRS workshop, developed with the Japan Society of Applied Physics, examines how AI can advance autonomous materials research beyond property prediction. Sessions connect physics-informed models, fundamental physical understanding, experimental validation and human–AI collaboration. Particular attention goes to data-efficient learning where experimental datasets are small or difficult to obtain. The online programme runs 4 November, 10:00–13:00, and 5 November, 19:00–22:00, US Eastern Time (EST). Registered participants receive session recordings. Registration is USD 100 regular, USD 75 for MRS members and USD 25 for students; qualifying developing-country professionals pay USD 25 and qualifying students attend free, subject to documentation and the published conditions. An MRS account is required.
Topics
- autonomous materials research, broader topic: materials research
- property prediction
- physics-informed models, search World Wide
- fundamental physical understanding, broader topic: understanding
- experimental validation
- Human-AI collaboration
- data-efficient learning, broader topic: learning
- experimental datasets
- Japan Society of Applied Physics, broader topic: physics
Organisers
- Masato Kotsugi, Tokyo University of Science
- Sarah Allec, Pacific Northwest National Laboratory
- Yongtao Liu, Oak Ridge National Laboratory
Guest speakers
- Soumendu Bagchi, Oak Ridge National Laboratory
- Ganesh Narasimha, Oak Ridge National Laboratory
- Keita Hiromori, The University of Tokyo
- Kevin Yager, Brookhaven National Laboratory
- Maria Chan, Argonne National Laboratory
- Philippe Schwaller, École Polytechnique Fédérale de Lausanne
- Shi Xuan Leong, Nanyang Technological University
- Shinya Mine, National Institute of Advanced Industrial Science and Technology
- Shoichi Matsuda, National Institute for Materials Science
- Wanlu Li, University of California, San Diego
Details
Organisations
Materials Research Society
Host