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Density-Functional Excited-State Gradients and Nonadiabatic Couplings on a Consumer GPU from a Contraction-DAG

Nonadiabatic dynamics needs an excited-state gradient and an interstate nonadiabatic coupling matrix element (NACME) at every nuclear geometry, and a double-hybrid functional's accuracy has been unavailable for the coupling.

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2026
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arxiv.org/abs/2608.06536ARXIV-DEFAULT
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Abstract

Nonadiabatic dynamics needs an excited-state gradient and an interstate nonadiabatic coupling matrix element (NACME) at every nuclear geometry, and a double-hybrid functional's accuracy has been unavailable for the coupling. We report the first analytic derivative NACME for a double-hybrid excited state---deferred in the original hh-TDA method and supplied for hybrids only by Yu et al.---derived, with the hole-hole and particle-particle Tamm--Dancoff (\hhTDA/\ppTDA) gradients and NACMEs, as a single reverse-mode transpose of one contraction graph closed under a non-symmetric atomic-orbital-direct J/K kernel. Its double-hybrid excitation energy lowers the vertical-excitation mean absolute deviation from bare-\hhTDA\ 0.86 to 0.47 eV and removes the +0.53!\rightarrow!+0.05 eV over-excitation bias, improving seven of ten states while over-correcting the ionic ππ^* states---the expected perturbative-doubles failure, reported not trimmed. Every coupling is validated to \sim!10^{-4} against an independent literal many-electron wavefunction-overlap oracle that shares no code path with the method, and is physically meaningful at the ammonia n!\rightarrow!σ^* covalent conical intersection, where the \hhTDA/\ppTDA manifolds recover the F!-!2 seam and adiabatic linear-response TDDFT gives τ!\equiv!0 by construction. Gradients, NACMEs, and the double-hybrid coupling all run device-resident and AO-direct through one shared Cholesky-decomposed J/K engine within the 8,GB of a consumer RTX 4060 (a profile-guided \sim!10^2\times launch collapse preserving double-precision bit-identity)---placing on a commodity desktop card a correlated excited-state derivative capability that has until now required datacenter hardware.