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Chenyang Li

Researcher at Emory University

Publications -  30
Citations -  520

Chenyang Li is an academic researcher from Emory University. The author has contributed to research in topics: Coupled cluster & Renormalization group. The author has an hindex of 11, co-authored 26 publications receiving 355 citations. Previous affiliations of Chenyang Li include Beijing Normal University & University of Georgia.

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Multireference Driven Similarity Renormalization Group: A Second-Order Perturbative Analysis.

TL;DR: It is found that the DSRG-MRPT2 can describe the potential energy curves of HF and N2, and the singlet-triplet gap of p-benzyne with an accuracy similar to that of other multireference perturbation theories.
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A Combined Selected Configuration Interaction and Many-Body Treatment of Static and Dynamical Correlation in Oligoacenes.

TL;DR: Schriber and Evangelista as discussed by the authors combined adaptive configuration interaction (ACI) with a density-fitted implementation of the second-order perturbation (SOP) to achieve the desired performance.
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An integral-factorized implementation of the driven similarity renormalization group second-order multireference perturbation theory.

TL;DR: Li et al. as discussed by the authors reported an efficient implementation of a second-order multireference perturbation theory based on the driven similarity renormalization group (DSRG-MRPT2).
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Towards numerically robust multireference theories: The driven similarity renormalization group truncated to one- and two-body operators.

TL;DR: The first nonperturbative version of the multireference driven similarity renormalization group (MR-DSRG) theory with one-and two-body operators was introduced in this paper.
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Driven similarity renormalization group: Third-order multireference perturbation theory.

TL;DR: A third-order multireference perturbation theory based on the driven similarity renormalization group (DSRG-MRPT3) approach is presented in this paper, which has several appealing features: (a) intruder free, (b) size consistent, (c) leading to a non-iterative algorithm with O(N6) scaling, and (d) it includes reference relaxation effects.