Mar 11, 2024 · A neural network-based method for advancing orbital-free density functional theory (OFDFT) is developed, which reaches DFT accuracy and ...
A neural network-based method for advancing orbital-free density functional theory (OFDFT) is developed, which reaches DFT accuracy and maintains lower cost ...
Pushing the limits of OFDFT with neural networks. Nat Comput Sci. 2024 Mar;4(3):163-164. doi: 10.1038/s43588-024-00610-x. Author. Andreas W Hauser ...
Mar 27, 2024 · Using an intensive multifaceted intervention, we discovered that substantial and enduring improvements can occur in parallel across multiple ...
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Pushing the limits of OFDFT with neural networks. https://doi.org/10.1038/s43588-024-00610-x. Journal: Nature Computational Science, 2024, № 3, p. 163-164.
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Andreas W. Hauser. Pushing the limits of OFDFT with neural networks. Nature Computational Science, pages 1-2, 2024. Download. Download paper: ( ...
Mar 11, 2024 · Pushing the limits of OFDFT with neural networks. Article. Mar 2024 ... neural network for deep learning. High accuracy, high efficiency ...