Optimizing Jastrow factors for the transcorrelated method

被引:12
|
作者
Haupt, J. Philip [1 ]
Hosseini, Seyed Mohammadreza [1 ]
Rios, Pablo Lopez [1 ]
Dobrautz, Werner [2 ]
Cohen, Aron [3 ]
Alavi, Ali [1 ,2 ,4 ]
机构
[1] Max Planck Inst Solid State Res, Heisenbergstr 1, D-70569 Stuttgart, Germany
[2] Chalmers Univ Technol, Dept Chem & Chem Engn, S-41296 Gothenburg, Sweden
[3] DeepMind 6 Pancras Sq, London N1C 4AG, England
[4] Univ Cambridge, Yusuf Hamied Dept Chem, Lensfield Rd, Cambridge CB2 1EW, England
基金
欧盟地平线“2020”;
关键词
BATH CONFIGURATION-INTERACTION; WAVE-FUNCTIONS; CORRELATION CUSP; ENERGIES; TERMS; CARE; MINIMIZATION; VARIANCE; SYSTEMS; NEON;
D O I
10.1063/5.0147877
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We investigate the optimization of flexible tailored real-space Jastrow factors for use in the transcorrelated (TC) method in combination with highly accurate quantum chemistry methods, such as initiator full configuration interaction quantum Monte Carlo (FCIQMC). Jastrow factors obtained by minimizing the variance of the TC reference energy are found to yield better, more consistent results than those obtained by minimizing the variational energy. We compute all-electron atomization energies for the challenging first-row molecules C-2, CN, N-2, and O-2 and find that the TC method yields chemically accurate results using only the cc-pVTZ basis set, roughly matching the accuracy of non-TC calculations with the much larger cc-pV5Z basis set. We also investigate an approximation in which pure three-body excitations are neglected from the TC-FCIQMC dynamics, saving storage and computational costs, and show that it affects relative energies negligibly. Our results demonstrate that the combination of tailored real-space Jastrow factors with the multi-configurational TC-FCIQMC method provides a route to obtaining chemical accuracy using modest basis sets, obviating the need for basis-set extrapolation and composite techniques.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Accuracy of the diffusion quantum Monte Carlo method on dissociation curves of van der Waals systems with the single-Slater-Jastrow trial wavefunction
    Huang, Zhiru
    Zhou, Xiaojun
    Wang, Fan
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2025, 27 (09) : 4785 - 4792
  • [22] Fuzzy reasoning method by optimizing the similarity of truth-tables
    Deng, Guannan
    Jiang, Yanli
    INFORMATION SCIENCES, 2014, 288 : 290 - 313
  • [23] A Method for Designing and Optimizing the Electrical Parameters of Dynamic Tuning Passive Filter
    Wang, Yifei
    Yin, Kaiyang
    Liu, Huikang
    Yuan, Youxin
    SYMMETRY-BASEL, 2021, 13 (07):
  • [24] Application of the FMECA Method for Optimizing the Reliability of the 1600T Press
    Ghemari, Zine
    Belkhiri, Salah
    Bezaf, Yahia
    Hamach, Ala
    Saad, Salah
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2024, 23 (03) : 659 - 682
  • [25] An Interval Power Flow Analysis Through Optimizing-Scenarios Method
    Zhang, Cong
    Chen, Haoyong
    Shi, Ke
    Qiu, Ming
    Hua, Dong
    Ngan, Honwing
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) : 5217 - 5226
  • [26] Optimizing Cabin Wireless Network Signal Coverage with Ray Tracing Method
    Li, Fengyun
    Huang, Shuang
    Zhan, Zihao
    Lu, Yunfei
    Shen, Tian
    Zhou, Jianguo
    2023 IEEE 9TH INTL CONFERENCE ON BIG DATA SECURITY ON CLOUD, BIGDATASECURITY, IEEE INTL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, HPSC AND IEEE INTL CONFERENCE ON INTELLIGENT DATA AND SECURITY, IDS, 2023, : 204 - 209
  • [27] A Data Processing Method for the Purpose of Optimizing Production of a Certain Type of Car
    Suchanek, Petr
    Bucki, Robert
    Marecki, Franciszek
    33RD INTERNATIONAL CONFERENCE MATHEMATICAL METHODS IN ECONOMICS (MME 2015), 2015, : 755 - 760
  • [28] A Blocked Linear Method for Optimizing Large Parameter Sets in Variational Monte Carlo
    Zhao, Luning
    Neuscamman, Eric
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2017, 13 (06) : 2604 - 2611
  • [29] An Interval DC Power Flow Analysis through the Optimizing-scenarios Method
    Zhang, Cong
    Chen, Haoyong
    Liang, Zipeng
    Hua, Dong
    2017 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), 2017, : 33 - 37
  • [30] Optimizing Factors for Accuracy of Forecasting Models in Food Processing Industry: A Context of Cacao Manufacturers in Vietnam
    Nhu-Ty Nguyen
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2019, 18 (04): : 808 - 824