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Abstracts: March 21, 2024

Abstracts: March 21, 2024

Stay on the forefront of scientific breakthroughs with Abstracts. Each episode features Microsoft's cutting-edge researchers delving into new and noteworthy achievements in their respective fields. In this episode, Senior Researcher Chang Liu joins host Gretchen Huizinga to discuss "Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning."

Liu and his coauthors present M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to identify molecular properties more efficiently and with greater accuracy. With this innovative approach, M-OFDFT could transform drug discovery and materials research by significantly streamlining the analysis process.

If you're interested in the latest advancements in molecular systems research, this episode of Abstracts is a must-listen. Get inspired and stay informed by tuning into this fascinating discussion.

You can read the paper for more information on M-OFDFT and its potential applications.

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Microsoft Research Podcast

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