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Excited-state calculations for organic molecules with thousands of atoms are now practical on a single GPU, thanks to a highly optimized TDDFT-risp implementation.
Deep learning finally cracks the DFT accuracy-efficiency trade-off, enabling highly accurate quantum chemistry calculations at semi-local DFT cost.
