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Finding Excited-State Minimum Energy Crossing Points on a Budget: Non-Self-Consistent Tight-Binding Methods

Philipp Pracht, Christoph Bannwarth

2023The Journal of Physical Chemistry Letters16 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide The automated exploration and identification of minimum energy conical intersections (MECIs) is a valuable computational strategy for the study of photochemical processes. Due to the immense computational effort involved in calculating non-adiabatic derivative coupling vectors, simplifications have been introduced focusing instead on minimum energy crossing points (MECPs), where promising attempts were made with semiempirical quantum mechanical methods. A simplified treatment for describing crossing points between almost arbitrary diabatic states based on a non-self-consistent extended tight-binding method, GFN0-xTB, is presented. Involving only a single diagonalization of the Hamiltonian, the method can provide energies and gradients for multiple electronic states, which can be used in a derivative coupling-vector-free scheme to calculate MECPs. By comparison with high-lying MECIs of benchmark systems, it is demonstrated that the identified geometries are good starting points for further MECI refinement with ab initio methods.

Topics & Concepts

DiabaticHamiltonian (control theory)Saddle pointPotential energyAdiabatic processAvoided crossingExcited stateAb initioTight bindingVibronic couplingPhysicsCoupling (piping)Potential energy surfaceBenchmark (surveying)Ground stateQuantumEnergy minimizationMathematicsQuantum mechanicsElectronic structureGeometryMathematical optimizationMaterials scienceGeodesyMetallurgyGeographySpectroscopy and Quantum Chemical StudiesPhotochemistry and Electron Transfer StudiesAdvanced Chemical Physics Studies
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