2018
DOI: 10.1021/acs.jpca.7b11932
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Moving Boundary Truncated Grid Method for Wave Packet Dynamics

Abstract: The moving boundary truncated grid method is developed to significantly reduce the number of grid points required for wave packet propagation. The time-dependent Schrödinger equation (TDSE) and the imaginary time Schrödinger equation (ITSE) are integrated using an adaptive algorithm which economizes the number of grid points. This method employs a variable number of grid points in the Eulerian frame (grid points fixed in space) and adaptively defines the boundaries of the truncated grid. The truncated grid met… Show more

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Cited by 6 publications
(12 citation statements)
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“…We first briefly review the moving boundary TG method for quantum wave packet propagation . As an example, the 2D TDSE governing the time evolution of a wave packet ψ ( x , y , t ) is given by inormalℏψt=normalℏ22m()2ψx2+2ψy2+V()x,yψ. …”
Section: Methodsmentioning
confidence: 96%
See 2 more Smart Citations
“…We first briefly review the moving boundary TG method for quantum wave packet propagation . As an example, the 2D TDSE governing the time evolution of a wave packet ψ ( x , y , t ) is given by inormalℏψt=normalℏ22m()2ψx2+2ψy2+V()x,yψ. …”
Section: Methodsmentioning
confidence: 96%
“…In a recent study by Lee and Chou, the moving boundary truncated grid (TG) method was developed to greatly decrease the total number of grid points needed for propagating the complex‐valued wave function. This approach employs a variable number of Eulerian grid points and adaptively defines the boundaries of the TG.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The system of differential and algebraic Eqs. (25), (26), (27) for ψ t , q t , p t is equivalent to and, hence, can be replaced with the system of differential Eqs. (25), (40), (41).…”
Section: G Recovery Of Time Reversibility By a Combination Of The Spmentioning
confidence: 99%
“…20 Another way of reducing the required computational resources is by appropriately truncating a lattice of Gaussian basis functions [21][22][23][24] or a set of grid points. 25,26 In particular, sparse-grid methods 10,[27][28][29] reduce the number of required grid points, e.g., by employing the Smolyak quadrature. 30 Making the grid adaptive 31 is another coma) Electronic mail: jiri.vanicek@epfl.ch mon approach to reduce the required number of grid points.…”
Section: Introductionmentioning
confidence: 99%