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Article: Recent Developments in the Pyscf Program Package
Title | Recent Developments in the Pyscf Program Package |
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Authors | Sun, QZhang, XBanerjee, SBao, PBarbry, MBlunt, NSBogdanov, NABooth, GHChen, JCui, ZHEriksen, JJGao, YGuo, SHermann, JHermes, MRKoh, KKoval, PLehtola, SLi, ZLiu, JMardirossian, NMcClain, JDMotta, MMussard, BPham, HQPulkin, APurwanto, WRobinson, PJRonca, ESayfutyarova, ERScheurer, MSchurkus, HFSmith, JETSun, CSun, SNUpadhyay, SWagner, LKWang, XWhite, AWhitfield, JDWilliamson, MJWouters, SYang, JYu, JMZhu, TBerkelbach, TCSharma, SSokolov, AYChan, GKL |
Keywords | adult article ecosystem information science machine learning |
Issue Date | 2020 |
Publisher | AIP Publishing LLC. The Journal's web site is located at http://scitation.aip.org/content/aip/journal/jcp |
Citation | The Journal of Chemical Physics, 2020, v. 153 n. 2, p. article no. 024109 How to Cite? |
Abstract | PySCF is a Python-based general-purpose electronic structure platform that supports first-principles simulations of molecules and solids as well as accelerates the development of new methodology and complex computational workflows. This paper explains the design and philosophy behind PySCF that enables it to meet these twin objectives. With several case studies, we show how users can easily implement their own methods using PySCF as a development environment. We then summarize the capabilities of PySCF for molecular and solid-state simulations. Finally, we describe the growing ecosystem of projects that use PySCF across the domains of quantum chemistry, materials science, machine learning, and quantum information science. |
Persistent Identifier | http://hdl.handle.net/10722/284524 |
ISSN | 2023 Impact Factor: 3.1 2023 SCImago Journal Rankings: 1.101 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sun, Q | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Banerjee, S | - |
dc.contributor.author | Bao, P | - |
dc.contributor.author | Barbry, M | - |
dc.contributor.author | Blunt, NS | - |
dc.contributor.author | Bogdanov, NA | - |
dc.contributor.author | Booth, GH | - |
dc.contributor.author | Chen, J | - |
dc.contributor.author | Cui, ZH | - |
dc.contributor.author | Eriksen, JJ | - |
dc.contributor.author | Gao, Y | - |
dc.contributor.author | Guo, S | - |
dc.contributor.author | Hermann, J | - |
dc.contributor.author | Hermes, MR | - |
dc.contributor.author | Koh, K | - |
dc.contributor.author | Koval, P | - |
dc.contributor.author | Lehtola, S | - |
dc.contributor.author | Li, Z | - |
dc.contributor.author | Liu, J | - |
dc.contributor.author | Mardirossian, N | - |
dc.contributor.author | McClain, JD | - |
dc.contributor.author | Motta, M | - |
dc.contributor.author | Mussard, B | - |
dc.contributor.author | Pham, HQ | - |
dc.contributor.author | Pulkin, A | - |
dc.contributor.author | Purwanto, W | - |
dc.contributor.author | Robinson, PJ | - |
dc.contributor.author | Ronca, E | - |
dc.contributor.author | Sayfutyarova, ER | - |
dc.contributor.author | Scheurer, M | - |
dc.contributor.author | Schurkus, HF | - |
dc.contributor.author | Smith, JET | - |
dc.contributor.author | Sun, C | - |
dc.contributor.author | Sun, SN | - |
dc.contributor.author | Upadhyay, S | - |
dc.contributor.author | Wagner, LK | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | White, A | - |
dc.contributor.author | Whitfield, JD | - |
dc.contributor.author | Williamson, MJ | - |
dc.contributor.author | Wouters, S | - |
dc.contributor.author | Yang, J | - |
dc.contributor.author | Yu, JM | - |
dc.contributor.author | Zhu, T | - |
dc.contributor.author | Berkelbach, TC | - |
dc.contributor.author | Sharma, S | - |
dc.contributor.author | Sokolov, AY | - |
dc.contributor.author | Chan, GKL | - |
dc.date.accessioned | 2020-08-07T08:58:53Z | - |
dc.date.available | 2020-08-07T08:58:53Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | The Journal of Chemical Physics, 2020, v. 153 n. 2, p. article no. 024109 | - |
dc.identifier.issn | 0021-9606 | - |
dc.identifier.uri | http://hdl.handle.net/10722/284524 | - |
dc.description.abstract | PySCF is a Python-based general-purpose electronic structure platform that supports first-principles simulations of molecules and solids as well as accelerates the development of new methodology and complex computational workflows. This paper explains the design and philosophy behind PySCF that enables it to meet these twin objectives. With several case studies, we show how users can easily implement their own methods using PySCF as a development environment. We then summarize the capabilities of PySCF for molecular and solid-state simulations. Finally, we describe the growing ecosystem of projects that use PySCF across the domains of quantum chemistry, materials science, machine learning, and quantum information science. | - |
dc.language | eng | - |
dc.publisher | AIP Publishing LLC. The Journal's web site is located at http://scitation.aip.org/content/aip/journal/jcp | - |
dc.relation.ispartof | The Journal of Chemical Physics | - |
dc.subject | adult | - |
dc.subject | article | - |
dc.subject | ecosystem | - |
dc.subject | information science | - |
dc.subject | machine learning | - |
dc.title | Recent Developments in the Pyscf Program Package | - |
dc.type | Article | - |
dc.identifier.email | Yang, J: juny@hku.hk | - |
dc.identifier.authority | Yang, J=rp02186 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1063/5.0006074 | - |
dc.identifier.pmid | 32668948 | - |
dc.identifier.scopus | eid_2-s2.0-85088156377 | - |
dc.identifier.hkuros | 311569 | - |
dc.identifier.volume | 153 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | article no. 024109 | - |
dc.identifier.epage | article no. 024109 | - |
dc.identifier.isi | WOS:000551896400001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0021-9606 | - |