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Density Functional Theory Transformed Into a One-Electron Reduced Density Matrix Functional Theory for the Description of Static Correlation
Density Functional Theory Transformed Into a One-Electron Reduced Density Matrix Functiona...
Density Functional Theory Transformed Into a One-Electron Reduced Density Matrix Functional Theory for the Description of Static Correlation

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자료유형  
 학위논문 서양
최종처리일시  
20250211152811
ISBN  
9798384012405
DDC  
542
저자명  
Gibney, Daniel Patrick.
서명/저자  
Density Functional Theory Transformed Into a One-Electron Reduced Density Matrix Functional Theory for the Description of Static Correlation
발행사항  
[Sl] : The University of Chicago, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
165 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
주기사항  
Advisor: Mazziotti, David.
학위논문주기  
Thesis (Ph.D.)--The University of Chicago, 2024.
초록/해제  
요약Kohn-Sham Density Functional Theory (KS-DFT or just DFT) has become a go-to method for electronic structure calculations due to its low computational scaling, allowing it to treat large systems, while still being relatively accurate. However, DFT still struggles in strongly correlated systems due to its inability to treat static electron correlation, leading to errors in its prediction of charges, multiradicals, and reaction barriers. This error is primarily driven by the single Slater determinant representation of the Kohn-Sham non-interacting auxiliary wave function, which leads to integer occupations of the electronic orbitals. In this thesis, we address this shortcoming by combining DFT with Semi-Definite Programming (SDP) and a 1-Electron Reduced Density Matrix Functional (RDMF) to capture static electron correlation through fractional orbital occupations. We derive our method termed Reduced Density Matrix Functional Theory (RDMFT) from a unitary decomposition of the 2-electron reduced density matrix's cumulant to obtain a system-specific dependence on the electron repulsion integrals. This methodology retains DFT's \uD835\uDCDE(N3 ) computational scaling while describing static correlation through fractional occupation. We apply this approach to a series of small molecules such as the benzynes and find noticeable improvements over DFT in each system tested. We've also modified the dependence of our method on the 2-electron integrals using the Cauchy-Schwarz inequalities to prevent the RDMF term from decaying to zero with growing system sizes, leading to size extensivity issues. We apply this modification to a series of linear hydrogen chains and find it remedies the size extensive issues of the original derivation. We further apply the modification to the singlet-triplet gaps of the acenes from pentacene to dodecacene and find excellent agreement with variational 2-RDM calculations.
일반주제명  
Computational chemistry
일반주제명  
Physical chemistry
일반주제명  
Inorganic chemistry
일반주제명  
Computer science
키워드  
Kohn-Sham Density Functional Theory
키워드  
Semi-Definite Programming
키워드  
Reduced Density Matrix Functional
키워드  
Electron repulsion integrals
키워드  
Linear hydrogen chains
기타저자  
The University of Chicago Chemistry
기본자료저록  
Dissertations Abstracts International. 86-02B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■035    ▼a(MiAaPQ)AAI31557967
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a542
■1001  ▼aGibney,  Daniel  Patrick.▼0(orcid)0000-0002-4915-3900
■24510▼aDensity  Functional  Theory  Transformed  Into  a  One-Electron  Reduced  Density  Matrix  Functional  Theory  for  the  Description  of  Static  Correlation
■260    ▼a[Sl]▼bThe  University  of  Chicago▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a165  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-02,  Section:  B.
■500    ▼aAdvisor:  Mazziotti,  David.
■5021  ▼aThesis  (Ph.D.)--The  University  of  Chicago,  2024.
■520    ▼aKohn-Sham  Density  Functional  Theory  (KS-DFT  or  just  DFT)  has  become  a  go-to  method  for  electronic  structure  calculations  due  to  its  low  computational  scaling,  allowing  it  to  treat  large  systems,  while  still  being  relatively  accurate.  However,  DFT  still  struggles  in  strongly  correlated  systems  due  to  its  inability  to  treat  static  electron  correlation,  leading  to  errors  in  its  prediction  of  charges,  multiradicals,  and  reaction  barriers.  This  error  is  primarily  driven  by  the  single  Slater  determinant  representation  of  the  Kohn-Sham  non-interacting  auxiliary  wave  function,  which  leads  to  integer  occupations  of  the  electronic  orbitals.  In  this  thesis,  we  address  this  shortcoming  by  combining  DFT  with  Semi-Definite  Programming  (SDP)  and  a  1-Electron  Reduced  Density  Matrix  Functional  (RDMF)  to  capture  static  electron  correlation  through  fractional  orbital  occupations.  We  derive  our  method  termed  Reduced  Density  Matrix  Functional  Theory  (RDMFT)  from  a  unitary  decomposition  of  the  2-electron  reduced  density  matrix's  cumulant  to  obtain  a  system-specific  dependence  on  the  electron  repulsion  integrals.  This  methodology  retains  DFT's  \uD835\uDCDE(N3  )  computational  scaling  while  describing  static  correlation  through  fractional  occupation.  We  apply  this  approach  to  a  series  of  small  molecules  such  as  the  benzynes  and  find  noticeable  improvements  over  DFT  in  each  system  tested.  We've  also  modified  the  dependence  of  our  method  on  the  2-electron  integrals  using  the  Cauchy-Schwarz  inequalities  to  prevent  the  RDMF  term  from  decaying  to  zero  with  growing  system  sizes,  leading  to  size  extensivity  issues.  We  apply  this  modification  to  a  series  of  linear  hydrogen  chains  and  find  it  remedies  the  size  extensive  issues  of  the  original  derivation.  We  further  apply  the  modification  to  the  singlet-triplet  gaps  of  the  acenes  from  pentacene  to  dodecacene  and  find  excellent  agreement  with  variational  2-RDM  calculations.
■590    ▼aSchool  code:  0330.
■650  4▼aComputational  chemistry
■650  4▼aPhysical  chemistry
■650  4▼aInorganic  chemistry
■650  4▼aComputer  science
■653    ▼aKohn-Sham  Density  Functional  Theory
■653    ▼aSemi-Definite  Programming  
■653    ▼aReduced  Density  Matrix  Functional
■653    ▼aElectron  repulsion  integrals
■653    ▼aLinear  hydrogen  chains  
■690    ▼a0219
■690    ▼a0488
■690    ▼a0984
■690    ▼a0494
■71020▼aThe  University  of  Chicago▼bChemistry.
■7730  ▼tDissertations  Abstracts  International▼g86-02B.
■790    ▼a0330
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163936▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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