Brueckner Orbitals in Local Pair Natural Orbital Coupled-Cluster Theory: DLPNO-BCCD(T) and DLPNO-BCCD(T)Lambda2
Andy Jiang, Tibor Gyori, Elizabeth C. Toth, Gabor Czako, Henry F. Schaefer
Abstract
In this work, we implement closed-shell Brueckner orbitals for the efficient domain-based local pair natural orbital DLPNO-CCSD(T) and DLPNO-CCSD(T)Λ methods of the free and open-source Psi4 package. We introduce a new algorithm that allows Brueckner orbitals to be computed within the DLPNO framework, resulting in the novel DLPNO-BCCD(T) and DLPNO-BCCD(T)Λ2 methods. We show that DLPNO-BCCD(T) approximates its canonical BCCD(T) counterpart with significantly lower errors relative to the errors incurred by DLPNO-CCSD(T) over CCSD(T). Through a test on the S22 set of noncovalent dimers, the peak error across the set is reduced from 0.36 kcal mol-1 to 0.25 kcal mol-1 using normal cutoffs, and 0.28 kcal mol-1 to 0.13 kcal mol-1 at tight cutoffs. In addition, we show that BCCD(T)Λ2, a Λ2-only implementation of Brueckner orbitals for the asymmetric triples method, generally produces the best agreement with CCSDT, compared to the (T), (T)Λ, and B(T) perturbative triples corrections. This is established through benchmarks on thermochemistry tests on the barrier heights of semibullvalene and bullvalene Cope rearrangement, while the robustness of DLPNO-BCCD(T)Λ2 is demonstrated along bond-breaking potential energy curves, where it matches the orbital-optimized quasi-variational asymmetric renormalized-triples OQVCCDAR(T) method closely for single-bond breaking, and approximates DLPNO-CCSDT respectably even when triple bonds are stretched, at a fraction of the computational cost.
Create a lesson
Related papers
When optimized geometries are not optimal: Implications for inverted singlet-triplet gap predictions
Atreyee Majumdar, Elamathi Selvan Samynathan, Raghunathan Ramakrishnan
Open-shell Configuration State Functions as trial states for phaseless auxiliary-field quantum Monte Carlo
Don Danilov, Hugh G. A. Burton, James Shee
Machine Learning the Complete Active-Space Wavefunction Reconstruction
Aniruddha Seal, Bhavnesh Jangid, Helen S. Clifford et al.
Exact periodic electrostatics for latent-charge machine-learning potentials
Eslam Ibrahim
Exploiting floating point emulation in tensor contractions in relativistic coupled cluster theory
Maxime Le, Ryan Benazzouk, Jan Brandejs et al.
Effective Harmonic and Anharmonic Models for Vibronic Spectra
Vincenzo Barone