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. <a href="https://www.microsoft.com/en-us/research/publication/overcoming-the-barrier-of-orbital-free-density-functional-theory-for-molecular-systems-using-deep-learning/">Read the paper</a>

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. Read the paper

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.&nbsp;<a href="https://www.microsoft.com/en-us/research/publication/overcoming-the-barrier-of-orbital-free-density-functional-theory-for-molecular-systems-using-deep-learning/" rel="noopener noreferrer">Read the paper</a>

Abstracts: March 21, 2024

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Abstracts: March 21, 2024

Abstracts: March 21, 2024

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