Related references
Note: Only part of the references are listed.Gradient incorporation in one-dimensional applications of interpolating moving least-squares methods for fitting potential energy surfaces
Igor V. Tokmakov et al.
THEORETICAL CHEMISTRY ACCOUNTS (2007)
Interpolating moving least-squares methods for fitting potential energy surfaces: Computing high-density potential energy surface data from low-density ab initio data points
Richard Dawes et al.
JOURNAL OF CHEMICAL PHYSICS (2007)
A random-sampling high dimensional model representation neural network for building potential energy surfaces
Sergei Manzhos et al.
JOURNAL OF CHEMICAL PHYSICS (2006)
A nested molecule-independent neural network approach for high-quality potential fits
S Manzhos et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2006)
Random sampling-high dimensional model representation (RS-HDMR) and orthogonality of its different order component functions
GY Li et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2006)
Interpolating moving least-squares methods for fitting potential-energy surfaces: Further improvement of efficiency via cutoff strategies
A Kawano et al.
JOURNAL OF CHEMICAL PHYSICS (2006)
Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks -: art. no. 084104
LM Raff et al.
JOURNAL OF CHEMICAL PHYSICS (2005)
Interpolating moving least-squares methods for fitting potential energy surfaces: Applications to classical dynamics calculations
Y Guo et al.
JOURNAL OF CHEMICAL PHYSICS (2004)
Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks
S Lorenz et al.
CHEMICAL PHYSICS LETTERS (2004)
Multicut-HDMR with an application to an ionospheric model
GY Li et al.
JOURNAL OF COMPUTATIONAL CHEMISTRY (2004)
Interpolating moving least-squares methods for fitting potential energy surfaces: Detailed analysis of one-dimensional applications
GG Maisuradze et al.
JOURNAL OF CHEMICAL PHYSICS (2003)
Reproducing kernel Hilbert space interpolation methods as a paradigm of high dimensional model representations: Application to multidimensional potential energy surface construction
TS Ho et al.
JOURNAL OF CHEMICAL PHYSICS (2003)
Practical approaches to construct RS-HDMR component functions
GY Li et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2002)
High dimensional model representations
GY Li et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2001)
Ab initio global potential, dipole, adiabatic, and relativistic correction surfaces for the HCN-HNC system
T van Mourik et al.
JOURNAL OF CHEMICAL PHYSICS (2001)
High dimensional model representations generated from low dimensional data samples. 1. mp-Cut-HDMR
GY Li et al.
JOURNAL OF MATHEMATICAL CHEMISTRY (2001)
Vibrational energy levels for CH4 from an ab initio potential
DW Schwenke et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2001)
Efficient implementation of high dimensional model representations
OF Alis et al.
JOURNAL OF MATHEMATICAL CHEMISTRY (2001)