QMCPACK : an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids
QMCPACK is an open source quantum Monte Carlo package for ab initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and...
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creator | Kim, Jeongnim Baczewski, Andrew D. Beaudet, Todd D. Benali, Anouar Bennett, M. Chandler Berrill, Mark A. Blunt, Nick S. Borda, Edgar Josué Landinez Casula, Michele Ceperley, David M. Chiesa, Simone Clark, Bryan K. Clay, Raymond C. Delaney, Kris T. Dewing, Mark Esler, Kenneth P. Hao, Hongxia Heinonen, Olle Kent, Paul R. C. Krogel, Jaron T. Kylänpää, Ilkka Li, Ying Wai Lopez, M. Graham Luo, Ye Malone, Fionn D. Martin, Richard M. Mathuriya, Amrita McMinis, Jeremy Melton, Cody A. Mitas, Lubos Morales, Miguel A. Neuscamman, Eric Parker, William D. Pineda Flores, Sergio D. Romero, Nichols A. Rubenstein, Brenda M. Shea, Jacqueline A. R. Shin, Hyeondeok Shulenburger, Luke Tillack, Andreas F. Townsend, Joshua P. Tubman, Norm M. Van Der Goetz, Brett Vincent, Jordan E. Yang, D. ChangMo Yang, Yubo Zhang, Shuai Zhao, Luning |
description | QMCPACK is an open source quantum Monte Carlo package for ab initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and reptation Monte Carlo. QMCPACK uses Slater-Jastrow type trial wavefunctions in conjunction with a sophisticated optimizer capable of optimizing tens of thousands of parameters. The orbital space auxiliary-field quantum Monte Carlo method is also implemented, enabling cross validation between different highly accurate methods. The code is specifically optimized for calculations with large numbers of electrons on the latest high performance computing architectures, including multicore central processing unit and graphical processing unit systems. We detail the program's capabilities, outline its structure, and give examples of its use in current research calculations. |
doi_str_mv | 10.1088/1361-648X/aab9c3 |
format | Article |
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Chandler ; Berrill, Mark A. ; Blunt, Nick S. ; Borda, Edgar Josué Landinez ; Casula, Michele ; Ceperley, David M. ; Chiesa, Simone ; Clark, Bryan K. ; Clay, Raymond C. ; Delaney, Kris T. ; Dewing, Mark ; Esler, Kenneth P. ; Hao, Hongxia ; Heinonen, Olle ; Kent, Paul R. C. ; Krogel, Jaron T. ; Kylänpää, Ilkka ; Li, Ying Wai ; Lopez, M. Graham ; Luo, Ye ; Malone, Fionn D. ; Martin, Richard M. ; Mathuriya, Amrita ; McMinis, Jeremy ; Melton, Cody A. ; Mitas, Lubos ; Morales, Miguel A. ; Neuscamman, Eric ; Parker, William D. ; Pineda Flores, Sergio D. ; Romero, Nichols A. ; Rubenstein, Brenda M. ; Shea, Jacqueline A. R. ; Shin, Hyeondeok ; Shulenburger, Luke ; Tillack, Andreas F. ; Townsend, Joshua P. ; Tubman, Norm M. ; Van Der Goetz, Brett ; Vincent, Jordan E. ; Yang, D. ChangMo ; Yang, Yubo ; Zhang, Shuai ; Zhao, Luning ; Argonne National Lab. (ANL), Argonne, IL (United States) ; Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</creatorcontrib><description>QMCPACK is an open source quantum Monte Carlo package for ab initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and reptation Monte Carlo. QMCPACK uses Slater-Jastrow type trial wavefunctions in conjunction with a sophisticated optimizer capable of optimizing tens of thousands of parameters. The orbital space auxiliary-field quantum Monte Carlo method is also implemented, enabling cross validation between different highly accurate methods. The code is specifically optimized for calculations with large numbers of electrons on the latest high performance computing architectures, including multicore central processing unit and graphical processing unit systems. 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Chandler</creatorcontrib><creatorcontrib>Berrill, Mark A.</creatorcontrib><creatorcontrib>Blunt, Nick S.</creatorcontrib><creatorcontrib>Borda, Edgar Josué Landinez</creatorcontrib><creatorcontrib>Casula, Michele</creatorcontrib><creatorcontrib>Ceperley, David M.</creatorcontrib><creatorcontrib>Chiesa, Simone</creatorcontrib><creatorcontrib>Clark, Bryan K.</creatorcontrib><creatorcontrib>Clay, Raymond C.</creatorcontrib><creatorcontrib>Delaney, Kris T.</creatorcontrib><creatorcontrib>Dewing, Mark</creatorcontrib><creatorcontrib>Esler, Kenneth P.</creatorcontrib><creatorcontrib>Hao, Hongxia</creatorcontrib><creatorcontrib>Heinonen, Olle</creatorcontrib><creatorcontrib>Kent, Paul R. C.</creatorcontrib><creatorcontrib>Krogel, Jaron T.</creatorcontrib><creatorcontrib>Kylänpää, Ilkka</creatorcontrib><creatorcontrib>Li, Ying Wai</creatorcontrib><creatorcontrib>Lopez, M. Graham</creatorcontrib><creatorcontrib>Luo, Ye</creatorcontrib><creatorcontrib>Malone, Fionn D.</creatorcontrib><creatorcontrib>Martin, Richard M.</creatorcontrib><creatorcontrib>Mathuriya, Amrita</creatorcontrib><creatorcontrib>McMinis, Jeremy</creatorcontrib><creatorcontrib>Melton, Cody A.</creatorcontrib><creatorcontrib>Mitas, Lubos</creatorcontrib><creatorcontrib>Morales, Miguel A.</creatorcontrib><creatorcontrib>Neuscamman, Eric</creatorcontrib><creatorcontrib>Parker, William D.</creatorcontrib><creatorcontrib>Pineda Flores, Sergio D.</creatorcontrib><creatorcontrib>Romero, Nichols A.</creatorcontrib><creatorcontrib>Rubenstein, Brenda M.</creatorcontrib><creatorcontrib>Shea, Jacqueline A. R.</creatorcontrib><creatorcontrib>Shin, Hyeondeok</creatorcontrib><creatorcontrib>Shulenburger, Luke</creatorcontrib><creatorcontrib>Tillack, Andreas F.</creatorcontrib><creatorcontrib>Townsend, Joshua P.</creatorcontrib><creatorcontrib>Tubman, Norm M.</creatorcontrib><creatorcontrib>Van Der Goetz, Brett</creatorcontrib><creatorcontrib>Vincent, Jordan E.</creatorcontrib><creatorcontrib>Yang, D. ChangMo</creatorcontrib><creatorcontrib>Yang, Yubo</creatorcontrib><creatorcontrib>Zhang, Shuai</creatorcontrib><creatorcontrib>Zhao, Luning</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States)</creatorcontrib><creatorcontrib>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</creatorcontrib><title>QMCPACK : an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids</title><title>Journal of physics. Condensed matter</title><description>QMCPACK is an open source quantum Monte Carlo package for ab initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and reptation Monte Carlo. QMCPACK uses Slater-Jastrow type trial wavefunctions in conjunction with a sophisticated optimizer capable of optimizing tens of thousands of parameters. The orbital space auxiliary-field quantum Monte Carlo method is also implemented, enabling cross validation between different highly accurate methods. The code is specifically optimized for calculations with large numbers of electrons on the latest high performance computing architectures, including multicore central processing unit and graphical processing unit systems. We detail the program's capabilities, outline its structure, and give examples of its use in current research calculations.</description><subject>Electronic Structure</subject><subject>QMCPACK</subject><subject>Quantum Chemistry</subject><subject>Quantum Monte Carlo</subject><issn>0953-8984</issn><issn>1361-648X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNjTFLBDEUhIMouJ72lg9r10tIXLJ2siiCHChcYXfkcm-9aDbvTF4af71biLUwMDAzzCfEpZI3Slq7VLpTbWfs29K5be_1kWj-omPRyP5Wt7a35lSclfIhpTRWm0Z8v66Gl_vhGe7AJaADJihUs0dwWwgpcCD4qi5xnWBFiREGlyPBwflP944wUgbeI2BEz5lS8FA4V881I9AIjmkq1zDR3NeIZabsZkIMu3IuTkYXC178-kJcPT6sh6eWCodN8YHR7z2lND9vlOlmGf2v0Q_bCFSO</recordid><startdate>20180419</startdate><enddate>20180419</enddate><creator>Kim, Jeongnim</creator><creator>Baczewski, Andrew D.</creator><creator>Beaudet, Todd D.</creator><creator>Benali, Anouar</creator><creator>Bennett, M. 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Chandler ; Berrill, Mark A. ; Blunt, Nick S. ; Borda, Edgar Josué Landinez ; Casula, Michele ; Ceperley, David M. ; Chiesa, Simone ; Clark, Bryan K. ; Clay, Raymond C. ; Delaney, Kris T. ; Dewing, Mark ; Esler, Kenneth P. ; Hao, Hongxia ; Heinonen, Olle ; Kent, Paul R. C. ; Krogel, Jaron T. ; Kylänpää, Ilkka ; Li, Ying Wai ; Lopez, M. Graham ; Luo, Ye ; Malone, Fionn D. ; Martin, Richard M. ; Mathuriya, Amrita ; McMinis, Jeremy ; Melton, Cody A. ; Mitas, Lubos ; Morales, Miguel A. ; Neuscamman, Eric ; Parker, William D. ; Pineda Flores, Sergio D. ; Romero, Nichols A. ; Rubenstein, Brenda M. ; Shea, Jacqueline A. R. ; Shin, Hyeondeok ; Shulenburger, Luke ; Tillack, Andreas F. ; Townsend, Joshua P. ; Tubman, Norm M. ; Van Der Goetz, Brett ; Vincent, Jordan E. ; Yang, D. 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Graham</au><au>Luo, Ye</au><au>Malone, Fionn D.</au><au>Martin, Richard M.</au><au>Mathuriya, Amrita</au><au>McMinis, Jeremy</au><au>Melton, Cody A.</au><au>Mitas, Lubos</au><au>Morales, Miguel A.</au><au>Neuscamman, Eric</au><au>Parker, William D.</au><au>Pineda Flores, Sergio D.</au><au>Romero, Nichols A.</au><au>Rubenstein, Brenda M.</au><au>Shea, Jacqueline A. R.</au><au>Shin, Hyeondeok</au><au>Shulenburger, Luke</au><au>Tillack, Andreas F.</au><au>Townsend, Joshua P.</au><au>Tubman, Norm M.</au><au>Van Der Goetz, Brett</au><au>Vincent, Jordan E.</au><au>Yang, D. ChangMo</au><au>Yang, Yubo</au><au>Zhang, Shuai</au><au>Zhao, Luning</au><aucorp>Argonne National Lab. (ANL), Argonne, IL (United States)</aucorp><aucorp>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>QMCPACK : an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids</atitle><jtitle>Journal of physics. Condensed matter</jtitle><date>2018-04-19</date><risdate>2018</risdate><volume>30</volume><issue>19</issue><issn>0953-8984</issn><eissn>1361-648X</eissn><abstract>QMCPACK is an open source quantum Monte Carlo package for ab initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and reptation Monte Carlo. QMCPACK uses Slater-Jastrow type trial wavefunctions in conjunction with a sophisticated optimizer capable of optimizing tens of thousands of parameters. The orbital space auxiliary-field quantum Monte Carlo method is also implemented, enabling cross validation between different highly accurate methods. The code is specifically optimized for calculations with large numbers of electrons on the latest high performance computing architectures, including multicore central processing unit and graphical processing unit systems. 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ispartof | Journal of physics. Condensed matter, 2018-04, Vol.30 (19) |
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source | IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link |
subjects | Electronic Structure QMCPACK Quantum Chemistry Quantum Monte Carlo |
title | QMCPACK : an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids |
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