No Cover Image

Journal article 573 views 99 downloads

Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration

Dimitrios Bachtis, Gert Aarts Orcid Logo, Biagio Lucini Orcid Logo

Physical Review Research, Volume: 3, Issue: 1

Swansea University Authors: Dimitrios Bachtis, Gert Aarts Orcid Logo, Biagio Lucini Orcid Logo

  • 56170.pdf

    PDF | Version of Record

    Released under the terms of the Creative Commons Attribution 4.0 International license

    Download (1.27MB)

Check full text

DOI (Published version): 10.1103/physrevresearch.3.013134

Published in: Physical Review Research
ISSN: 2643-1564
Published: American Physical Society (APS) 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56170
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-02-24T17:57:06Z
last_indexed 2021-02-25T04:21:08Z
id cronfa56170
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-02-24T17:57:32.1481693</datestamp><bib-version>v2</bib-version><id>56170</id><entry>2021-02-02</entry><title>Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration</title><swanseaauthors><author><sid>91a311a58d3f8badc779f0ffa6d0ca3d</sid><firstname>Dimitrios</firstname><surname>Bachtis</surname><name>Dimitrios Bachtis</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>1ba0dad382dfe18348ec32fc65f3f3de</sid><ORCID>0000-0002-6038-3782</ORCID><firstname>Gert</firstname><surname>Aarts</surname><name>Gert Aarts</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7e6fcfe060e07a351090e2a8aba363cf</sid><ORCID>0000-0001-8974-8266</ORCID><firstname>Biagio</firstname><surname>Lucini</surname><name>Biagio Lucini</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-02-02</date><deptcode>SPH</deptcode><abstract/><type>Journal Article</type><journal>Physical Review Research</journal><volume>3</volume><journalNumber>1</journalNumber><paginationStart/><paginationEnd/><publisher>American Physical Society (APS)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2643-1564</issnElectronic><keywords/><publishedDay>10</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-02-10</publishedDate><doi>10.1103/physrevresearch.3.013134</doi><url/><notes/><college>COLLEGE NANME</college><department>Physics</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SPH</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>UKRI, ST/T000813/1</funders><lastEdited>2021-02-24T17:57:32.1481693</lastEdited><Created>2021-02-02T16:16:05.2404207</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Mathematics</level></path><authors><author><firstname>Dimitrios</firstname><surname>Bachtis</surname><order>1</order></author><author><firstname>Gert</firstname><surname>Aarts</surname><orcid>0000-0002-6038-3782</orcid><order>2</order></author><author><firstname>Biagio</firstname><surname>Lucini</surname><orcid>0000-0001-8974-8266</orcid><order>3</order></author></authors><documents><document><filename>56170__19366__aeed31e2ab074e558a8a7a32721826e4.pdf</filename><originalFilename>56170.pdf</originalFilename><uploaded>2021-02-24T17:56:26.4827076</uploaded><type>Output</type><contentLength>1328240</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of the Creative Commons Attribution 4.0 International license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2021-02-24T17:57:32.1481693 v2 56170 2021-02-02 Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration 91a311a58d3f8badc779f0ffa6d0ca3d Dimitrios Bachtis Dimitrios Bachtis true false 1ba0dad382dfe18348ec32fc65f3f3de 0000-0002-6038-3782 Gert Aarts Gert Aarts true false 7e6fcfe060e07a351090e2a8aba363cf 0000-0001-8974-8266 Biagio Lucini Biagio Lucini true false 2021-02-02 SPH Journal Article Physical Review Research 3 1 American Physical Society (APS) 2643-1564 10 2 2021 2021-02-10 10.1103/physrevresearch.3.013134 COLLEGE NANME Physics COLLEGE CODE SPH Swansea University UKRI, ST/T000813/1 2021-02-24T17:57:32.1481693 2021-02-02T16:16:05.2404207 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Dimitrios Bachtis 1 Gert Aarts 0000-0002-6038-3782 2 Biagio Lucini 0000-0001-8974-8266 3 56170__19366__aeed31e2ab074e558a8a7a32721826e4.pdf 56170.pdf 2021-02-24T17:56:26.4827076 Output 1328240 application/pdf Version of Record true Released under the terms of the Creative Commons Attribution 4.0 International license true eng https://creativecommons.org/licenses/by/4.0/
title Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
spellingShingle Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
Dimitrios Bachtis
Gert Aarts
Biagio Lucini
title_short Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
title_full Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
title_fullStr Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
title_full_unstemmed Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
title_sort Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
author_id_str_mv 91a311a58d3f8badc779f0ffa6d0ca3d
1ba0dad382dfe18348ec32fc65f3f3de
7e6fcfe060e07a351090e2a8aba363cf
author_id_fullname_str_mv 91a311a58d3f8badc779f0ffa6d0ca3d_***_Dimitrios Bachtis
1ba0dad382dfe18348ec32fc65f3f3de_***_Gert Aarts
7e6fcfe060e07a351090e2a8aba363cf_***_Biagio Lucini
author Dimitrios Bachtis
Gert Aarts
Biagio Lucini
author2 Dimitrios Bachtis
Gert Aarts
Biagio Lucini
format Journal article
container_title Physical Review Research
container_volume 3
container_issue 1
publishDate 2021
institution Swansea University
issn 2643-1564
doi_str_mv 10.1103/physrevresearch.3.013134
publisher American Physical Society (APS)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
active_str 0
published_date 2021-02-10T04:10:55Z
_version_ 1763753754279018496
score 11.016235

Similar Items