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Updated: Mar 20, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
Published on: April 19, 2021
An integral-factorized implementation of the driven similarity renormalization group second-order multireference
Kevin P Hannon1, Chenyang Li1, Francesco A Evangelista1
1Department of Chemistry and Cherry Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, USA.
We developed an efficient driven similarity renormalization group-second-order multireference perturbation theory (DSRG-MRPT2) method. This computational chemistry approach accurately predicts naphthyne singlet-triplet splittings, showing strong dependence on molecular structure.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate prediction of electronic structure is crucial for understanding chemical properties.
- Multireference perturbation theories are essential for systems with strong electron correlation.
- Driven similarity renormalization group (DSRG) methods offer a robust framework for electronic structure calculations.
Purpose of the Study:
- To report an efficient implementation of second-order multireference perturbation theory based on the driven similarity renormalization group (DSRG-MRPT2).
- To reduce the computational cost and memory requirements of DSRG-MRPT2 calculations.
- To benchmark the new implementation on naphthyne isomers and compare with established methods.
Main Methods:
- Implementation of DSRG-MRPT2 utilizing factorized two-electron integrals.
- Exploitation of block structure in reference density matrices to reduce computational cost.
- Benchmarking on ten naphthyne isomers with basis sets up to quintuple-ζ quality.
Main Results:
- The DSRG-MRPT2 implementation achieves computational efficiency comparable to second-order Møller-Plesset perturbation theory.
- Singlet-triplet splittings (ΔST) for naphthyne isomers exhibit significant dependence on equilibrium geometries.
- DSRG-MRPT2 predictions show good agreement with reduced multireference coupled cluster theory results for consistent geometries.
Conclusions:
- The developed DSRG-MRPT2 method provides an efficient and accurate approach for studying electronic structure.
- The strong geometry dependence of ΔST highlights the importance of accurate structural determination in theoretical studies.
- The DSRG-MRPT2 method serves as a valuable tool for investigating complex chemical systems.
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