AI for Materials Discovery Symposium
26 Jan 2026
09.00 AM - 07.00 PM
Level 1 Seminar Room, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore 636921
Current Students, Industry/Academic Partners, Prospective Students, Public
The AI for Materials Discovery Symposium brings together leading researchers from academia and industry working at the interface of artificial intelligence, materials discovery, and computational materials science.
The programme will feature invited talks and dedicated networking sessions, providing a platform for the exchange of ideas, presentation of recent advances, and the cultivation of future collaborations. Confirmed speakers comprise a broad international and interdisciplinary community from leading academic institutions, research organisations, and industry, including the University of Cambridge, the University of California San Diego, the University of California Santa Barbara, Beijing Institute of Technology, Jilin University, the National University of Singapore, A*STAR, and Nanyang Technological University.
The programme will feature invited talks and dedicated networking sessions, providing a platform for the exchange of ideas, presentation of recent advances, and the cultivation of future collaborations. Confirmed speakers comprise a broad international and interdisciplinary community from leading academic institutions, research organisations, and industry, including the University of Cambridge, the University of California San Diego, the University of California Santa Barbara, Beijing Institute of Technology, Jilin University, the National University of Singapore, A*STAR, and Nanyang Technological University.
The symposium will highlight research spanning a wide range of disciplines, including:
- Materials Science
- Chemistry
- Computer Science
- Physics
- Earth Science
The Programme and Speakers

Please register here: https://event.ntu.edu.sg/ai-materials-discovery-symposium-26jan2026
Registration is closed because the symposium has reached the maximum number of participants.