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Abstracts: March 21, 2024
Manage episode 408112199 series 2514544
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Senior Researcher Chang Liu discusses M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to help identify molecular properties in a way that minimizes the tradeoff between accuracy and efficiency.
194 episodes
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Manage episode 408112199 series 2514544
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Senior Researcher Chang Liu discusses M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to help identify molecular properties in a way that minimizes the tradeoff between accuracy and efficiency.
194 episodes
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Similar to Microsoft Research Podcast
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