NECI: N-Electron Configuration Interaction with an emphasis on state-of-the-art stochastic methods
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and sc...
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Published in | The Journal of chemical physics Vol. 153; no. 3; pp. 034107 - 34131 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Melville
American Institute of Physics
21.07.2020
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Subjects | |
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Abstract | We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green’s functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0. |
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AbstractList | We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green’s functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0. We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green's functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0.We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green's functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0. |
Author | Blunt, Nick S. Bogdanov, Nikolay A. Vitale, Eugenio Dobrautz, Werner Cleland, Deidre Ma, Dongxia Anderson, Robert J. Manni, Giovanni Li Rampp, Markus Alavi, Ali Guther, Kai Ghanem, Khaldoon Luo, Hongjun Lozovoi, Alexander Y. Dattani, Nike Merz, Florian Schwarz, Lauretta R. Booth, George H. Weser, Oskar Liebermann, Niklas Jeszenszki, Peter Samanta, Pradipta Kumar Smart, Simon D. Overy, Catherine Shepherd, James J. |
Author_xml | – sequence: 1 givenname: Kai surname: Guther fullname: Guther, Kai email: k.guther@fkf.mpg.de organization: Max Planck Institute for Solid State Research – sequence: 2 givenname: Robert J. surname: Anderson fullname: Anderson, Robert J. organization: Department of Physics, King’s College London – sequence: 3 givenname: Nick S. surname: Blunt fullname: Blunt, Nick S. organization: Department of Chemistry, University of Cambridge – sequence: 4 givenname: Nikolay A. surname: Bogdanov fullname: Bogdanov, Nikolay A. organization: Max Planck Institute for Solid State Research – sequence: 5 givenname: Deidre surname: Cleland fullname: Cleland, Deidre organization: CSIRO Data61 – sequence: 6 givenname: Nike surname: Dattani fullname: Dattani, Nike organization: Department of Electrical and Computer Engineering, University of Waterloo – sequence: 7 givenname: Werner surname: Dobrautz fullname: Dobrautz, Werner organization: Max Planck Institute for Solid State Research – sequence: 8 givenname: Khaldoon surname: Ghanem fullname: Ghanem, Khaldoon organization: Max Planck Institute for Solid State Research – sequence: 9 givenname: Peter surname: Jeszenszki fullname: Jeszenszki, Peter organization: 10Department of Chemistry and Informatics Institute, University of Iowa, Iowa City, Iowa 52242, USA – sequence: 10 givenname: Niklas surname: Liebermann fullname: Liebermann, Niklas organization: Max Planck Institute for Solid State Research – sequence: 11 givenname: Giovanni Li surname: Manni fullname: Manni, Giovanni Li organization: Max Planck Institute for Solid State Research – sequence: 12 givenname: Alexander Y. surname: Lozovoi fullname: Lozovoi, Alexander Y. organization: Max Planck Institute for Solid State Research – sequence: 13 givenname: Hongjun surname: Luo fullname: Luo, Hongjun organization: Max Planck Institute for Solid State Research – sequence: 14 givenname: Dongxia surname: Ma fullname: Ma, Dongxia organization: Max Planck Institute for Solid State Research – sequence: 15 givenname: Florian surname: Merz fullname: Merz, Florian organization: Lenovo HPC and AI Innovation Center – sequence: 16 givenname: Catherine surname: Overy fullname: Overy, Catherine organization: Department of Chemistry, University of Cambridge – sequence: 17 givenname: Markus surname: Rampp fullname: Rampp, Markus organization: Max Planck Computing and Data Facility (MPCDF) – sequence: 18 givenname: Pradipta Kumar surname: Samanta fullname: Samanta, Pradipta Kumar organization: Max Planck Institute for Solid State Research – sequence: 19 givenname: Lauretta R. surname: Schwarz fullname: Schwarz, Lauretta R. organization: 10Department of Chemistry and Informatics Institute, University of Iowa, Iowa City, Iowa 52242, USA – sequence: 20 givenname: James J. surname: Shepherd fullname: Shepherd, James J. organization: Department of Chemistry and Informatics Institute, University of Iowa – sequence: 21 givenname: Simon D. surname: Smart fullname: Smart, Simon D. organization: Department of Chemistry, University of Cambridge – sequence: 22 givenname: Eugenio surname: Vitale fullname: Vitale, Eugenio organization: Max Planck Institute for Solid State Research – sequence: 23 givenname: Oskar surname: Weser fullname: Weser, Oskar organization: Max Planck Institute for Solid State Research – sequence: 24 givenname: George H. surname: Booth fullname: Booth, George H. organization: Department of Physics, King’s College London – sequence: 25 givenname: Ali surname: Alavi fullname: Alavi, Ali organization: 10Department of Chemistry and Informatics Institute, University of Iowa, Iowa City, Iowa 52242, USA |
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Snippet | We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic... |
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SubjectTerms | Algorithms Central processing units Computer simulation Configuration interaction CPUs Hamiltonian functions Parallel processing Physics Quantum chemistry Wave functions |
Title | NECI: N-Electron Configuration Interaction with an emphasis on state-of-the-art stochastic methods |
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