1995
DOI: 10.1103/physrevlett.75.49
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Iterated Real-Time Path Integral Evaluation Using a Distributed Approximating Functional Propagator and Average-Case Complexity Integration

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Cited by 32 publications
(51 citation statements)
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“…Here, the kinetic energy operator K k=2 ͑x i , x j ͒ is represented in each dimension using distributed approximating functionals, [77][78][79][80] …”
Section: B Shared Proton Nuclear Quantum Effectsmentioning
confidence: 99%
“…Here, the kinetic energy operator K k=2 ͑x i , x j ͒ is represented in each dimension using distributed approximating functionals, [77][78][79][80] …”
Section: B Shared Proton Nuclear Quantum Effectsmentioning
confidence: 99%
“…97,98,137,138 The banded Toeplitz representation of the DAF propagator renders a great deal of efficiency to quantum propagation. 59,97,98,137 The evolution of {R C ,P C } is given by the velocity Verlet integrator, 139 which is also obtained through a third-order Trotter factorization of the classical Liouville form of the AIMD equations. 97 ıp…”
Section: Quantum Wavepacket Ab Initio Molecular Dynamics Enhancedmentioning
confidence: 99%
“…30,31,33 The wave packet dynamics is performed through an analytic, banded, Toeplitz 52 approximation to the discretized free propagator. 29,[53][54][55][56][57] Some features of this approach include: ͑a͒ accurate treatment of the electronic degrees of freedom by including hybrid density functionals ͑e.g., B3LYP͒, ͑b͒ formally exact and efficient quantum propagation where the numerical description of the wave packet adapts to the shape and position of the same to provide a flexible propagation scheme, ͑c͒ efficient treatment of large systems based on established linear scaling electronic structure techniques. [58][59][60] The current work, thus, attempts an important synergy between formally accurate approaches in quantum scattering theory 1, 5,6,9,10,12,26,[38][39][40]55,61,62 and approximate ab initio molecular dynamics methods [30][31][32][33][34]43,45,51,[63][64][65][66][67] to achieve efficient quantum dynamics of large systems.…”
Section: Introductionmentioning
confidence: 99%