2020
DOI: 10.1021/acs.jpca.0c07168
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Multidimensional Tunneling Dynamics Employing Quantum-Trajectory Guided Adaptable Gaussian Bases

Abstract: An efficient basis representation of time-dependent wavefunctions is essential for theoretical studies of high-dimensional molecular systems exhibiting large-amplitude motion. For fully coupled anharmonic systems, the complexity of a general wavefunction scales exponentially with the system size; therefore, for practical reasons, it is desirable to adapt the basis to the time-dependent wavefunction at hand. Often times on this quest for a minimal basis representation, time-dependent Gaussians are employed, in … Show more

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Cited by 6 publications
(3 citation statements)
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References 36 publications
(91 reference statements)
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“…In order to further solve the image edge blur problem corresponding to the traditional partial differential equation algorithm, relevant researchers proposed an image processing model of forward and backward diffusion equation. Its main core idea is to select the corresponding negative value at the edge of the recognized image as the diffusion coefficient, so as to realize the edge sharpening of the processed image and realize the final noise reduction of the image [23][24][25].…”
Section: Correlation Analysismentioning
confidence: 99%
“…In order to further solve the image edge blur problem corresponding to the traditional partial differential equation algorithm, relevant researchers proposed an image processing model of forward and backward diffusion equation. Its main core idea is to select the corresponding negative value at the edge of the recognized image as the diffusion coefficient, so as to realize the edge sharpening of the processed image and realize the final noise reduction of the image [23][24][25].…”
Section: Correlation Analysismentioning
confidence: 99%
“…A natural way to add NQEs to the nuclear dynamics is to represent nuclear wavefunctions in terms of basis functions that follow trajectories capturing the broad features of the system's time‐evolution. In this paper, we describe a multi‐state generalization of a formally exact quantum dynamics method based on the trajectory‐guided basis representation of nuclear wavefunctions, that is, the quantum trajectory‐guided adaptable Gaussians (QTAG) [37–39]. In the QTAG method—unlike many other Gaussian methods—the basis function parameters are ‘optimized’ by the time evolution of the wavefunction.…”
Section: Introductionmentioning
confidence: 99%
“…the quantum trajectory-guided adaptable Gaussians (QTAG). [37][38][39] In the QTAG method -unlike many other Gaussian methods -the basis function parameters are 'optimized' by the time evolution of the wavefunction. This approach offers several conceptual advantages: (1) the trajectory paths are guided by the shape and coordinatedependent phase of the wavefunction itself, creating an efficient sampling of the configuration space; (2) the NQEs are captured intrinsically, without requiring external corrections; (3) thanks to the trajectories defining the basis functions' centers, the QTAG formalism smoothly connects to semi-classical and classical descriptions of nuclear motion and to the hierarchical treatment of large molecular systems.…”
Section: Introductionmentioning
confidence: 99%