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Density Matrix Renormalization Group with Dynamical Correlation via Adiabatic Connection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388955%3A_____%2F21%3A00548171" target="_blank" >RIV/61388955:_____/21:00548171 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/11104/0324280" target="_blank" >http://hdl.handle.net/11104/0324280</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1021/acs.jctc.1c00896" target="_blank" >10.1021/acs.jctc.1c00896</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Density Matrix Renormalization Group with Dynamical Correlation via Adiabatic Connection

  • Original language description

    The quantum chemical version of the density matrix renormalization group (DMRG) method has established itself as one of the methods of choice for calculations of strongly correlated molecular systems. Despite its great ability to capture strong electronic correlation in large active spaces, it is not suitable for computations of dynamical electron correlation. In this work, we present a new approach to the electronic structure problem of strongly correlated molecules, in which DMRG is responsible for a proper description of the strong correlation, whereas dynamical correlation is computed via the recently developed adiabatic connection (AC) technique which requires only up to two-body active space reduced density matrices. We report the encouraging results of this approach on typical candidates for DMRG computations, namely, n-acenes (n = 2 → 7), Fe(II)–porphyrin, and the Fe3S4 cluster.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10403 - Physical chemistry

Result continuities

  • Project

    <a href="/en/project/GJ18-18940Y" target="_blank" >GJ18-18940Y: Massively parallel tensor network methods for strongly correlated quantum chemistry</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Chemical Theory and Computation

  • ISSN

    1549-9618

  • e-ISSN

    1549-9626

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    7575-7585

  • UT code for WoS article

    000752980200021

  • EID of the result in the Scopus database

    2-s2.0-85119528518