
Materialism: A Materials Science Podcast
Episode 88: Accelerating Materials Discovery with Microsoft
May 8, 2024
Explore how Microsoft is revolutionizing material discovery through machine learning and AI, focusing on lithium-ion battery electrolytes. They use a filtering process to identify promising candidates and partner with PNNL for synthesis. Learn about their methodology and future opportunities in this exciting field.
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Quick takeaways
- Microsoft showcases AI-driven approach to accelerating materials discovery through advanced machine learning techniques and high-performance computing.
- Computational tools and databases like Materials Genome Initiative are revolutionizing material science, enabling predictive material property analysis and automating processes for efficient discovery.
Deep dives
Acceleration of Materials Discovery through AI and HPC
Microsoft showcases a groundbreaking approach to accelerating materials discovery through AI and high-performance computing. By combining these technologies, they streamlined the process, screening through millions of candidates within a week instead of the projected 20 years. The AI filters the most promising candidates, leading to enhanced efficiency in decision-making and allocation of resources for further detailed physical simulations.
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