{"id":"https://openalex.org/W4389159321","doi":"https://doi.org/10.1088/2632-2153/ad113a","title":"Bayesian experimental design and parameter estimation for ultrafast spin dynamics","display_name":"Bayesian experimental design and parameter estimation for ultrafast spin dynamics","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389159321","doi":"https://doi.org/10.1088/2632-2153/ad113a"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad113a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad113a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad113a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad113a/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034462680","display_name":"Zhantao Chen","orcid":"https://orcid.org/0000-0003-1954-3868"},"institutions":[{"id":"https://openalex.org/I2801935854","display_name":"SLAC National Accelerator Laboratory","ror":"https://ror.org/05gzmn429","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I2801935854","https://openalex.org/I39565521","https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhantao Chen","raw_affiliation_strings":["Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Mailstop 0072, Menlo Park, California, 94025, UNITED STATES"],"raw_orcid":"https://orcid.org/0000-0003-1954-3868","affiliations":[{"raw_affiliation_string":"Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Mailstop 0072, Menlo Park, California, 94025, UNITED STATES","institution_ids":["https://openalex.org/I2801935854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101649163","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-9267-1789"},"institutions":[{"id":"https://openalex.org/I2801935854","display_name":"SLAC National Accelerator Laboratory","ror":"https://ror.org/05gzmn429","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I2801935854","https://openalex.org/I39565521","https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Menlo Park, California, 94025, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Menlo Park, California, 94025, UNITED STATES","institution_ids":["https://openalex.org/I2801935854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060478806","display_name":"Alexander N. Petsch","orcid":"https://orcid.org/0000-0002-7597-9626"},"institutions":[{"id":"https://openalex.org/I2801935854","display_name":"SLAC National Accelerator Laboratory","ror":"https://ror.org/05gzmn429","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I2801935854","https://openalex.org/I39565521","https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander N Petsch","raw_affiliation_strings":["Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Menlo Park, California, 94025, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Rd, Menlo Park, California, 94025, UNITED STATES","institution_ids":["https://openalex.org/I2801935854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068743423","display_name":"Sathya R. Chitturi","orcid":"https://orcid.org/0000-0002-0298-8476"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathya R Chitturi","raw_affiliation_strings":["Department of Materials Science and Engineering, Stanford University, William Frederick Durand Building, Stanford, California, 94305-6104, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Materials Science and Engineering, Stanford University, William Frederick Durand Building, Stanford, California, 94305-6104, UNITED STATES","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082922139","display_name":"Alana Okullo","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alana Okullo","raw_affiliation_strings":["Department of Physics and Astronomy, Howard University, 2355 6th St NW, Washington, District of Columbia, 20059-0001, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, Howard University, 2355 6th St NW, Washington, District of Columbia, 20059-0001, UNITED STATES","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070895353","display_name":"Sugata Chowdhury","orcid":"https://orcid.org/0000-0001-5480-6075"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sugata Chowdhury","raw_affiliation_strings":["Department of Physics and Astronomy, Howard University, 2355 6th St NW, Washington, District of Columbia, 20059-0001, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, Howard University, 2355 6th St NW, Washington, District of Columbia, 20059-0001, UNITED STATES","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056060411","display_name":"Chun Hong Yoon","orcid":"https://orcid.org/0000-0003-1482-1662"},"institutions":[{"id":"https://openalex.org/I4210136624","display_name":"Linac Coherent Light Source","ror":"https://ror.org/02vkaa689","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I2801935854","https://openalex.org/I39565521","https://openalex.org/I4210136624","https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun Hong Yoon","raw_affiliation_strings":["Linac Coherent Light Source, SLAC, 2575 Sand Hill Rd, Mailstop 0072, Menlo Park, California, 94025, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linac Coherent Light Source, SLAC, 2575 Sand Hill Rd, Mailstop 0072, Menlo Park, California, 94025, UNITED STATES","institution_ids":["https://openalex.org/I4210136624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033321609","display_name":"Joshua J. Turner","orcid":"https://orcid.org/0000-0002-2106-7955"},"institutions":[{"id":"https://openalex.org/I2801935854","display_name":"SLAC National Accelerator Laboratory","ror":"https://ror.org/05gzmn429","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I2801935854","https://openalex.org/I39565521","https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua J Turner","raw_affiliation_strings":["Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Road, Menlo Park, California, 94025, UNITED STATES"],"raw_orcid":"https://orcid.org/0000-0002-2106-7955","affiliations":[{"raw_affiliation_string":"Stanford Institute for Materials and Energy Sciences, SLAC, 2575 Sand Hill Road, Menlo Park, California, 94025, UNITED STATES","institution_ids":["https://openalex.org/I2801935854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5034462680"],"corresponding_institution_ids":["https://openalex.org/I2801935854"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.1848,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42384999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":"4","first_page":"045056","last_page":"045056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6366589069366455},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5554295778274536},{"id":"https://openalex.org/keywords/spin","display_name":"Spin (aerodynamics)","score":0.5394955277442932},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.5176939964294434},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.47669193148612976},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4226033091545105},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.36740636825561523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23265475034713745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11588448286056519},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.10050150752067566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366589069366455},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5554295778274536},{"id":"https://openalex.org/C42704618","wikidata":"https://www.wikidata.org/wiki/Q910917","display_name":"Spin (aerodynamics)","level":2,"score":0.5394955277442932},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.5176939964294434},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.47669193148612976},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4226033091545105},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.36740636825561523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23265475034713745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11588448286056519},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.10050150752067566},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1088/2632-2153/ad113a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad113a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad113a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f3310b8ae0934ebcb8eb11703d408d7b","is_oa":true,"landing_page_url":"https://doaj.org/article/f3310b8ae0934ebcb8eb11703d408d7b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 4, p 045056 (2023)","raw_type":"article"},{"id":"pmh:oai:osti.gov:2223007","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2223007","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2242573","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2242573","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2326993","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2326993","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad113a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad113a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad113a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G2871405021","display_name":null,"funder_award_id":"DE-AC02-76SF00515","funder_id":"https://openalex.org/F4320337480","funder_display_name":"Basic Energy Sciences"}],"funders":[{"id":"https://openalex.org/F4320317220","display_name":"National Energy Research Scientific Computing Center","ror":"https://ror.org/05v3mvq14"},{"id":"https://openalex.org/F4320337480","display_name":"Basic Energy Sciences","ror":"https://ror.org/05mg91w61"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389159321.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W192693040","https://openalex.org/W1522301498","https://openalex.org/W1964507459","https://openalex.org/W1978102625","https://openalex.org/W1979968477","https://openalex.org/W1983671004","https://openalex.org/W1986791002","https://openalex.org/W2004584647","https://openalex.org/W2011006049","https://openalex.org/W2011874852","https://openalex.org/W2019143734","https://openalex.org/W2043155829","https://openalex.org/W2053760470","https://openalex.org/W2058087360","https://openalex.org/W2059188066","https://openalex.org/W2066438683","https://openalex.org/W2086470686","https://openalex.org/W2101484286","https://openalex.org/W2103424999","https://openalex.org/W2301496559","https://openalex.org/W2463166542","https://openalex.org/W2586883659","https://openalex.org/W2595654587","https://openalex.org/W2693038439","https://openalex.org/W2744797544","https://openalex.org/W2884097106","https://openalex.org/W2912318618","https://openalex.org/W2912539264","https://openalex.org/W3009476855","https://openalex.org/W3022736622","https://openalex.org/W3033475332","https://openalex.org/W3037575279","https://openalex.org/W3047820180","https://openalex.org/W3088940933","https://openalex.org/W3098763662","https://openalex.org/W3104312093","https://openalex.org/W3104693000","https://openalex.org/W3106274169","https://openalex.org/W3117193936","https://openalex.org/W3120253624","https://openalex.org/W3128521546","https://openalex.org/W3136697615","https://openalex.org/W3151491202","https://openalex.org/W3155058937","https://openalex.org/W3163419361","https://openalex.org/W3165089363","https://openalex.org/W3172613086","https://openalex.org/W3180952894","https://openalex.org/W3200092517","https://openalex.org/W3200579802","https://openalex.org/W3205010816","https://openalex.org/W3207747334","https://openalex.org/W4225147829","https://openalex.org/W4241657786","https://openalex.org/W4282975211","https://openalex.org/W4293442731","https://openalex.org/W4308022707","https://openalex.org/W4311450920","https://openalex.org/W4317826894","https://openalex.org/W4319843240","https://openalex.org/W4376653045","https://openalex.org/W4386886571","https://openalex.org/W6607784900","https://openalex.org/W6631190155","https://openalex.org/W6852347172"],"related_works":["https://openalex.org/W2043727559","https://openalex.org/W4376623368","https://openalex.org/W3183539093","https://openalex.org/W4386768751","https://openalex.org/W3176972442","https://openalex.org/W1182684176","https://openalex.org/W192918227","https://openalex.org/W4200284277","https://openalex.org/W2810433436","https://openalex.org/W2782606814"],"abstract_inverted_index":{"Abstract":[0],"Advanced":[1],"experimental":[2,50,117],"measurements":[3,114],"are":[4,96],"crucial":[5],"for":[6],"driving":[7],"theoretical":[8,74],"developments":[9],"and":[10,17,77,109,132,141],"unveiling":[11],"novel":[12],"phenomena":[13],"in":[14,82,90,105,110],"condensed":[15],"matter":[16],"materials":[18],"physics,":[19],"which":[20],"often":[21],"suffer":[22],"from":[23,61],"the":[24,47,91,102],"scarcity":[25],"of":[26,128],"large-scale":[27],"facility":[28],"resources,":[29],"such":[30],"as":[31],"x-ray":[32,62],"or":[33],"neutron":[34],"scattering":[35],"centers.":[36],"To":[37],"address":[38],"these":[39],"limitations,":[40],"we":[41],"introduce":[42],"a":[43],"methodology":[44],"that":[45,93],"leverages":[46],"Bayesian":[48],"optimal":[49],"design":[51],"paradigm":[52],"to":[53,124],"efficiently":[54],"uncover":[55],"key":[56],"quantum":[57],"spin":[58,133],"fluctuation":[59,64,134],"parameters":[60,108],"photon":[63],"spectroscopy":[65],"(XPFS)":[66],"data.":[67],"Our":[68,98,119],"method":[69,120],"is":[70],"compatible":[71],"with":[72,84],"existing":[73],"simulation":[75],"pipelines":[76],"can":[78,121],"also":[79],"be":[80,122],"used":[81],"combination":[83],"fast":[85],"machine":[86],"learning":[87],"surrogate":[88],"models":[89],"event":[92],"real-time":[94],"simulations":[95],"unfeasible.":[97],"numerical":[99],"benchmarks":[100],"demonstrate":[101],"superior":[103],"performance":[104],"predicting":[106],"model":[107],"delivering":[111],"more":[112,137],"informative":[113],"within":[115],"limited":[116],"time.":[118],"adapted":[123],"many":[125],"different":[126],"types":[127],"experiments":[129],"beyond":[130],"XPFS":[131],"studies,":[135],"facilitating":[136],"efficient":[138],"data":[139],"collection":[140],"accelerating":[142],"scientific":[143],"discoveries.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
