Artificial Intelligence for Accelerating Materials Discovery

Explore how artificial intelligence is revolutionizing materials discovery in this 31-minute conference talk by Carla Gomes from Cornell University. Delve into the latest advancements in AI and machine learning techniques applied to materials research, including crystal structure mapping, pattern factor decomposition, and autonomous systems. Learn about high-throughput methods, symbolic AI, and the challenges of real-world applications. Discover the potential of AI-driven approaches like AlphaGo, Crystal Agents, and Phase Mapper in accelerating materials innovation. Gain insights into the opportunities and limitations of AI in materials science, data availability issues, and future prospects for this rapidly evolving field.

Intro
Welcome
AI Progress
The Next Frontier
The Machine Learning Revolution
The Real World
Symbolic AI
Alphago
High throughput
Crystal structure mapping
Pattern of factor decomposition
Crystal structure face mapping
Crystal matrix factorization
Crystal agents
Crystal arm
Phase mapper
Autonomous Systems
Ares
Sarah
Team
Summary
Questions
Opportunities Limitations
More Questions
When
Data Availability
Crystal Availability
Conclusion