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Abstracts: March 21, 2024

Abstracts: March 21, 2024

Get ready to delve into the latest advancements within the research community with Abstracts, a podcast that highlights new and exciting breakthroughs. In this episode, Senior Researcher Chang Liu discusses his team's recent paper titled "Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning."

Liu and his coauthors have introduced a novel approach to orbital-free density functional theory (OFDFT) called M-OFDFT, which uses deep learning to identify molecular properties with greater efficiency and accuracy. This approach has the potential to impact diverse fields such as drug discovery and materials discovery, among others. Liu's insights are sure to captivate the attention of those interested in cutting-edge research.

So, if you are enthusiastic about staying up-to-date with the latest research advancements and want to learn more about how deep learning can be used to advance scientific pursuits, listen to the episode of Abstracts. It's sure to be informative and thought-provoking!

The link to the podcast episode can be found here: https://open.spotify.com/episode/3u5rracytWNRpmj2RfMRJO.

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Microsoft Research Podcast
Microsoft Research Podcast

An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.

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