Analytic Gradients and Nonadiabatic Couplings for Device-Resident DMRG-QD-NEVPT2 Through Conical Intersections on a Consumer GPU

📅 2026-09-09
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
该研究通过在消费级GPU上实现DMRG-QD-NEVPT2方法,提供解析梯度和非绝热耦合,解决了锥形交叉点处的非绝热动力学问题。
📝 Abstract
Nonadiabatic dynamics through a conical intersection needs both static and dynamic correlation and, at every geometry, an excited-state gradient and interstate nonadiabatic coupling (NACME); analytic multireference derivatives at this level have been cluster-scale. We report device-resident \mbox{DMRG-QD-NEVPT2} with analytic derivatives, on B2PLYP double-hybrid Kohn--Sham orbitals: a density-matrix-renormalization-group reference supplies the static correlation, and quasi-degenerate NEVPT2 adds the dynamic correlation through a multi-state effective Hamiltonian that stays valid \emph{through} the intersection, where single-state perturbation theory fails. Each gradient and NACME is one reverse-mode transpose of a contraction graph that carries the DMRG sweep as a gauge-free, tape-free node and reduces to active-space RDM contractions with Cholesky factors. The whole construction runs on a consumer 8\,GB GPU. The DMRG reference is FCI-in-active-space to $10^{-15}$ and the single-precision leg is spectroscopically inert ($<10^{-6}$\,eV); the correction yields smooth adiabats and a non-vanishing, $1/ΔE$-divergent NACME through the twisted-ethene intersection---where adiabatic linear-response TDDFT returns zero---and restores the dynamic correlation the ionic $ππ^*$ states require. DMRG-NEVPT2 and quasi-degenerate NEVPT2 are each established; the contribution is the entire stack---multi-state through a conical intersection, with analytic gradients and couplings---made device-resident on commodity hardware. Multireference companion to our density-functional realization of the same engine.
Problem

Research questions and friction points this paper is trying to address.

nonadiabatic dynamics
conical intersection
analytic gradients
nonadiabatic coupling
dynamic correlation
Innovation

Methods, ideas, or system contributions that make the work stand out.

DMRG-QD-NEVPT2
analytic gradients
nonadiabatic couplings
consumer GPU
conical intersections
R
Rubén Darío Guerrero
1) NeuroTechNet S.A.S., 1108831, Bogotá, Colombia; 2) Quantum and Computational Chemistry Group (QCCG), Universidad Nacional de Colombia, Bogotá, Colombia