AI-Accelerated Superconductor Discovery: From Algorithms to Novel Materials
The ‘AI for Superconductivity’ workshop (April 28-29, 2025) brought together leading experts in AI-driven materials discovery and fundamental superconductivity theory to discuss the latest developments and future directions in this exciting field.
The focused program featured invited talks, scientific discussions, a poster session, and a banquet dinner to facilitate in-depth exchanges and inspire novel collaboration opportunities among researchers from academics and industry.
Key topics of discussion included:
Advances in Crystal Structure Prediction and Neural Network Architectures
Inverse Design and Generative AI for Superconductor Discovery
Bridging Academic Research and Industry: From Algorithms to Applications
Hardware and Data Infrastructure for AI in Materials Science
Theoretical Foundations: Towards Room-Temperature Superconductivity and Materials Properties beyond Tc
See more here.
