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Density Functional Theory Transformed into a One-electron Reduced Density Matrix Functional Theory for the Capture of Static Correlation

Chemical Physics · Submitted 11 Jan 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our approach, which we implement by quadratic semidefinite programming at DFT's computational scaling of $O(r^{3})$, yields substantial improvements over traditional DFT in the description of static correlation in chemical structures and processes such as singlet biradicals and bond dissociations.

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arXiv ID2201.03736 (version 1)
Pith IDR5DPAGJR, Pith's permanent record of this paper and its review
CitationDaniel Gibney, David A. Mazziotti, Jan-Niklas Boyn. "Density Functional Theory Transformed into a One-electron Reduced Density Matrix Functional Theory for the Capture of Static Correlation." arXiv:2201.03736 (2022). https://pith.science/paper/R5DPAGJR
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What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.11 · human participants 0.01 · controlled comparison 0.46 · randomized assignment 0.01 · states quantitative result 0.23 · compares with prior results 0.92 · mentions code or data availability 0.03.

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Density functional theory (DFT), the most widely adopted method in modern computational chemistry, fails to describe accurately the electronic structure of strongly correlated systems. Here we show that DFT can be formally and practically transformed into a one-electron reduced-density-matrix (1-RDM) functional theory, which can address the limitations of DFT while retaining favorable computational scaling compared to wavefunction-based approaches. In addition to relaxing the idempotency restriction on the 1-RDM in the kinetic energy term, we add a quadratic 1-RDM-based term to DFT's density-based exchange-correlation functional. Our approach, which we implement by quadratic semidefinite programming at DFT's computational scaling of $O(r^{3})$, yields substantial improvements over traditional DFT in the description of static correlation in chemical structures and processes such as singlet biradicals and bond dissociations.

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#sentencerolethe authors' own workstates the main conclusionstrength
s0 Density functional theory (DFT), the most widely adopted method in modern computational chemistry, fails to describe accurately the electronic structure of strongly correlated systems. background 0.92 0.08 0.03 asserted 1.00
s1 Here we show that DFT can be formally and practically transformed into a one-electron reduced-density-matrix (1-RDM) functional theory, which can address the limitations of DFT while retaining favorable computational scaling compared to wavefunction-based approaches. contribution 1.00 0.94 0.80 asserted 1.00
s2 In addition to relaxing the idempotency restriction on the 1-RDM in the kinetic energy term, we add a quadratic 1-RDM-based term to DFT's density-based exchange-correlation functional. method 0.90 0.92 0.06 asserted 0.99
s3 Our approach, which we implement by quadratic semidefinite programming at DFT's computational scaling of $O(r^{3})$, yields substantial improvements over traditional DFT in the description of static correlation in chemical structures and processes such as singlet biradicals and bond dissociations. result 0.92 0.96 0.60 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.96.

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Original abstract

Density functional theory (DFT), the most widely adopted method in modern computational chemistry, fails to describe accurately the electronic structure of strongly correlated systems. Here we show that DFT can be formally and practically transformed into a one-electron reduced-density-matrix (1-RDM) functional theory, which can address the limitations of DFT while retaining favorable computational scaling compared to wavefunction-based approaches. In addition to relaxing the idempotency restriction on the 1-RDM in the kinetic energy term, we add a quadratic 1-RDM-based term to DFT's density-based exchange-correlation functional. Our approach, which we implement by quadratic semidefinite programming at DFT's computational scaling of $O(r^{3})$, yields substantial improvements over traditional DFT in the description of static correlation in chemical structures and processes such as singlet biradicals and bond dissociations.

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1 arXiv paper cite this in 2 sentences

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Uses its method or tool 1 paper
  • The RDMFT calculations are solved using a self-consistent-field (SCF) procedure at $𝒪(N^3)$ scaling, described in Refs. [ref] , in which the solution of the semidefinite program is computed at each SCF iteration with the splitting conic solver (SCS) [ref] in the CVXPY Python program [ref] .

    Enhancing Density Functional Theory for Static Correlation in Large Molecules · Introduction · 0.99

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