Orbital-aware approximations to high-order RDM calculations
Abstract
In this work, we analyze the structure of higher-order reduced density matrices (RDMs) from the perspective of correlated electron transition processes. We introduce the orbital overlap degree (OOD) as a quantitative measure of the overlap between creation and annihilation orbital indices in individual RDM elements. Systematic analysis of representative strongly correlated systems reveals a strong correlation between the OOD and the magnitude of RDM elements. Motivated by this observation, we develop an orbital-aware (OA) approximation for calculating higher-order RDMs, i.e., oa4-RDMs, that selectively approximates the evaluation of fourth order RDM elements. The oa4-RDMs can be integrated with RDM-based multi-reference approaches, e.g., the density-matrix renormalized group n-electron valence second-order perturbation theory with oa4-RDMs (DMRG-oa4-NEVPT2). Numerical results for Cr2 and 1,2-dioxetanone show that the OA approximation significantly reduces computational cost while preserving the dominant contributions in strongly correlated calculations, and orbital-type analysis of trans-polyacetylene oligomers demonstrates the general applicability of OOD as a descriptor across different orbital representations.
Article Details
Journal Info
The Journal of Chemical Physics
American Institute of Physics
Authors (6)
Wenhao Liang
Computer Network Information Center, Chinese Academy of Sciences 1 , Beijing 100190,
Wei Huang
Runfeng Jin
Computer Network Information Center, Chinese Academy of Sciences 1 , Beijing 100190,
Zhenggang Lan
MOE Key Laboratory of Environmental Theoretical Chemistry, SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, School of Environment, South China Normal University 3 , Guangzhou 510006,
Yingjin Ma
Computer Network Information Center, Chinese Academy of Sciences 1 , Beijing 100190,
Zhong Jin
State Key Laboratory of Coordination Chemistry, MOE Key Laboratory of Mesoscopic Chemistry, MOE Key Laboratory of High Performance Polymer Materials and Technology, Jiangsu Key Laboratory of Green Energy Catalysis and Intelligent Chemical Engineering, Suzhou Key Laboratory of Green Intelligent Manufacturing of New Energy Materials and Devices, Tianchang New Materials and Energy Technologies Research Center, Institute of Green Chemistry and Engineering, School of Chemistry and Chemical Engineering