Pushing the limits of OFDFT with neural networks


A neural network-based method for advancing orbital-free density functional theory (OFDFT) is developed, which reaches DFT accuracy and maintains lower cost complexity.

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Fig. 1: Overview of approaches in orbital-free density functional theory.

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Andreas W. Hauser.

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Hauser, A.W. Pushing the limits of OFDFT with neural networks.
Nat Comput Sci (2024). https://doi.org/10.1038/s43588-024-00610-x

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  • Published: 11 March 2024

  • DOI: https://doi.org/10.1038/s43588-024-00610-x


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