Systematically
Improvable Tensor Hypercontraction:
Interpolative Separable Density-Fitting for Molecules Applied to Exact
Exchange, Second- and Third-Order Møller–Plesset Perturbation
Theory
posted on 2019-12-18, 21:10authored byJoonho Lee, Lin Lin, Martin Head-Gordon
We present a systematically improvable tensor hypercontraction
(THC) factorization based on interpolative separable density fitting
(ISDF). We illustrate algorithmic details to achieve this within the
framework of Becke’s atom-centered quadrature grid. A single
ISDF parameter cISDF controls the trade-off
between accuracy and cost. In particular, cISDF sets the number of interpolation points used in THC, NIP = cISDF × NX with NX being
the number of auxiliary basis functions. In conjunction with the resolution-of-the-identity
(RI) technique, we develop and investigate the THC-RI algorithms for
cubic-scaling exact exchange for Hartree–Fock and range-separated
hybrids (e.g., ωB97X-V) and quartic-scaling second- and third-order
Møller–Plesset theory (MP2 and MP3). These algorithms
were evaluated over the W4-11 thermochemistry (atomization energy)
set and A24 noncovalent interaction benchmark set with standard Dunning
basis sets (cc-pVDZ, cc-pVTZ, aug-cc-pVDZ, and aug-cc-pVTZ). We demonstrate
the convergence of THC-RI algorithms to numerically exact RI results
using ISDF points. Based on these, we make recommendations on cISDF for each basis set and method. We also
demonstrate the utility of THC-RI exact exchange and MP2 for larger
systems such as water clusters and C20. We stress that
more challenges await in obtaining accurate and numerically stable
THC factorization for wave function amplitudes as well as for the
space spanned by virtual orbitals in large basis sets and implementing
sparsity-aware THC-RI algorithms.