2016
DOI: 10.1063/1.4943985
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Efficient generation of sum-of-products representations of high-dimensional potential energy surfaces based on multimode expansions

Abstract: The transformation of multi-dimensional potential energy surfaces (PESs) from a grid-based multimode representation to an analytical one is a standard procedure in quantum chemical programs. Within the framework of linear least squares fitting, a simple and highly efficient algorithm is presented, which relies on a direct product representation of the PES and a repeated use of Kronecker products. It shows the same scalings in computational cost and memory requirements as the potfit approach. In comparison to c… Show more

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Cited by 70 publications
(44 citation statements)
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“…67 Many other methods require SoP Hamiltonians or are much more efficient if SoP Hamiltonians are utilized, 22,68,69 and there are many algorithms available to fit the Hamiltonian in a SoP form efficiently, notably potfit and variants thereof, 70-72 neural networks, 73,74 or some interpolation techniques. 75,76 Note, however, that pruned DVR bases do not require SoP Hamiltonians (to be precise: A SoP form of the potential) and we show that these bases can be very successfully pruned.…”
Section: Introductionmentioning
confidence: 81%
“…67 Many other methods require SoP Hamiltonians or are much more efficient if SoP Hamiltonians are utilized, 22,68,69 and there are many algorithms available to fit the Hamiltonian in a SoP form efficiently, notably potfit and variants thereof, 70-72 neural networks, 73,74 or some interpolation techniques. 75,76 Note, however, that pruned DVR bases do not require SoP Hamiltonians (to be precise: A SoP form of the potential) and we show that these bases can be very successfully pruned.…”
Section: Introductionmentioning
confidence: 81%
“…Those surfaces are normally fitted using an advanced interpolation technology such as the Shepard interpolation, 67 neural network approach, 68 high-order polynomial expansion scheme, 69 and high-dimensional model representation (HDMR) methods. [70][71][72] Generally speaking, those methods usually…”
Section: Hamiltonian In Orthogonal Polyspherical Coordinatesmentioning
confidence: 99%
“…Numerous developments in quantum chemistry promise an economical and flexible, yet, accurate access to ab initio local PESs of polyatomic molecules [40][41][42][43][44][45][46][47][48], for which the design of global PESs would be too cumbersome and expensive. The MOLPRO software package [49] comprises a versatile and flexible computational environment for VSCF/VCI calculations.…”
Section: Introductionmentioning
confidence: 99%