Главная
Study mode:
on
1
Intro
2
Welcome
3
AI Progress
4
The Next Frontier
5
The Machine Learning Revolution
6
The Real World
7
Symbolic AI
8
Alphago
9
High throughput
10
Crystal structure mapping
11
Pattern of factor decomposition
12
Crystal structure face mapping
13
Crystal matrix factorization
14
Crystal agents
15
Crystal arm
16
Phase mapper
17
Autonomous Systems
18
Ares
19
Sarah
20
Team
21
Summary
22
Questions
23
Opportunities Limitations
24
More Questions
25
When
26
Data Availability
27
Crystal Availability
28
Conclusion
Description:
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.

Artificial Intelligence for Accelerating Materials Discovery

Materials Research Society
Add to list