Benchmarking the Semi-Stochastic CC(P;Q) Approach for Singlet-Triplet Gaps in Biradicals
Arnab Chakraborty, Stephen H. Yuwono, J. Emiliano Deustua, Jun Shen,, Piotr Piecuch

TL;DR
This paper evaluates a semi-stochastic coupled-cluster method's effectiveness in accurately computing singlet-triplet energy gaps in biradicals, demonstrating its potential for high-level quantum chemistry calculations.
Contribution
It introduces and benchmarks a semi-stochastic CC(P;Q) approach for accurately determining singlet-triplet gaps in biradicals, combining deterministic and stochastic methods.
Findings
Successfully recovers CCSDT energies for biradicals.
Accurately predicts singlet-triplet energy gaps.
Demonstrates efficiency of semi-stochastic approach.
Abstract
We recently proposed a semi-stochastic approach to converging high-level coupled-cluster (CC) energetics, such as those obtained in the CC calculations with singles, doubles, and triples (CCSDT), in which the deterministic CC(;) framework is merged with the stochastic configuration interaction Quantum Monte Carlo propagations [J. E. Deustua, J. Shen, and P. Piecuch, Phys. Rev. Lett. 119, 223003 (2017)]. In this work, we investigate the ability of the semi-stochastic CC(;) methodology to recover the CCSDT energies of the lowest singlet and triplet states and the corresponding singlet-triplet gaps of biradical systems using methylene, , cyclobutadiene, cyclopentadienyl cation, and trimethylenemethane as examples.
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Fullerene Chemistry and Applications · Synthesis and Properties of Aromatic Compounds
