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Achieving a mean absolute deviation of just 0.020 kcal/mol from the Skala reference value, this implementation sets a new standard for accuracy in density-functional theory simulations.
Deep learning finally cracks the DFT accuracy-efficiency trade-off, enabling highly accurate quantum chemistry calculations at semi-local DFT cost.
