{"id":"https://openalex.org/W7161022174","doi":"https://doi.org/10.1021/acs.jcim.6c00425","title":"Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation","display_name":"Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161022174","doi":"https://doi.org/10.1021/acs.jcim.6c00425","pmid":"https://pubmed.ncbi.nlm.nih.gov/42126582"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.6c00425","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.6c00425","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6c00425?ref=article_openPDF","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6c00425?ref=article_openPDF","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009496954","display_name":"Dingyun Huang","orcid":"https://orcid.org/0000-0003-4974-4214"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Dingyun Huang","raw_affiliation_strings":["Ray Dolby Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0US. U.K"],"raw_orcid":"https://orcid.org/0000-0003-4974-4214","affiliations":[{"raw_affiliation_string":"Ray Dolby Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0US. U.K","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068607578","display_name":"Jacqueline M. Cole","orcid":"https://orcid.org/0000-0002-1552-8743"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":true,"raw_author_name":"Jacqueline M. Cole","raw_affiliation_strings":["Ray Dolby Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0US. U.K"],"raw_orcid":"https://orcid.org/0000-0002-1552-8743","affiliations":[{"raw_affiliation_string":"Ray Dolby Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0US. U.K","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068607578"],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55235953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"66","issue":"10","first_page":"5757","last_page":"5763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9803000092506409,"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":0.9803000092506409,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photoluminescence","display_name":"Photoluminescence","score":0.6987000107765198},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.6780999898910522},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.607200026512146},{"id":"https://openalex.org/keywords/wavelength","display_name":"Wavelength","score":0.5708000063896179},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.527899980545044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48510000109672546},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.44130000472068787},{"id":"https://openalex.org/keywords/molecule","display_name":"Molecule","score":0.41429999470710754}],"concepts":[{"id":"https://openalex.org/C85080765","wikidata":"https://www.wikidata.org/wiki/Q614893","display_name":"Photoluminescence","level":2,"score":0.6987000107765198},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.6780999898910522},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.6281999945640564},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.607200026512146},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.583299994468689},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.5708000063896179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4945000112056732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C32909587","wikidata":"https://www.wikidata.org/wiki/Q11369","display_name":"Molecule","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.34040001034736633},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C158711907","wikidata":"https://www.wikidata.org/wiki/Q1768467","display_name":"Fluorescence spectroscopy","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C3019060180","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automated method","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C2994228675","wikidata":"https://www.wikidata.org/wiki/Q512599","display_name":"Property value","level":3,"score":0.2515999972820282}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1021/acs.jcim.6c00425","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.6c00425","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6c00425?ref=article_openPDF","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:42126582","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42126582","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of chemical information and modeling","raw_type":null},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/403736","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/403736","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/0bb3570d-7c5d-48f4-8a78-bf8771a6f087/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13213825","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13213825/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Chem Inf Model","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1021/acs.jcim.6c00425","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.6c00425","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6c00425?ref=article_openPDF","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.45452988147735596}],"awards":[{"id":"https://openalex.org/G4517999","display_name":"AI for Chemistry: AIchemy","funder_award_id":"EP/Y028775/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G612342310","display_name":"AI for Chemistry: AIchemy","funder_award_id":"EP/Y028759/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7012611250","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320337480","funder_display_name":"Basic Energy Sciences"}],"funders":[{"id":"https://openalex.org/F4320321848","display_name":"Cambridge Trust","ror":"https://ror.org/05sprqy15"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337480","display_name":"Basic Energy Sciences","ror":"https://ror.org/05mg91w61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7161022174.pdf","grobid_xml":"https://content.openalex.org/works/W7161022174.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W276517611","https://openalex.org/W1992985800","https://openalex.org/W2051293602","https://openalex.org/W2076498053","https://openalex.org/W2080635178","https://openalex.org/W2109738979","https://openalex.org/W2150702843","https://openalex.org/W2319902168","https://openalex.org/W2325206711","https://openalex.org/W2478294658","https://openalex.org/W2808304511","https://openalex.org/W2885014450","https://openalex.org/W2949858440","https://openalex.org/W3008287297","https://openalex.org/W3047398431","https://openalex.org/W3105362409","https://openalex.org/W3129691336","https://openalex.org/W4206600258","https://openalex.org/W4225409008","https://openalex.org/W4379377255","https://openalex.org/W4385027818","https://openalex.org/W4385202863","https://openalex.org/W4388623498","https://openalex.org/W4389132751","https://openalex.org/W4389475249","https://openalex.org/W4390951820","https://openalex.org/W4392282307","https://openalex.org/W4392547070","https://openalex.org/W4393277170","https://openalex.org/W4396816788","https://openalex.org/W4400807577","https://openalex.org/W4402556597","https://openalex.org/W4403148291","https://openalex.org/W4403799507","https://openalex.org/W4405300111","https://openalex.org/W4406472463","https://openalex.org/W4407355635","https://openalex.org/W4409012176","https://openalex.org/W4416248613","https://openalex.org/W7134240225"],"related_works":[],"abstract_inverted_index":{"The":[0],"application":[1],"of":[2,14,56,75],"machine":[3],"learning":[4],"to":[5,50,89,139],"materials":[6,18,36],"discovery":[7],"is":[8],"often":[9],"constrained":[10],"by":[11,31],"the":[12,44,52],"availability":[13],"large-scale,":[15],"experimentally":[16,77,84,141],"verified":[17],"databases.":[19],"This":[20,83],"study":[21],"presents":[22],"an":[23],"automatic,":[24],"end-to-end":[25],"framework":[26,49,131],"that":[27,129],"bridges":[28],"this":[29,48],"gap":[30],"training":[32],"machine-learning":[33],"predictors":[34],"for":[35,144],"properties":[37],"on":[38,113],"experimental":[39],"data":[40,86],"mined":[41],"directly":[42],"from":[43],"literature.":[45],"We":[46],"apply":[47],"predict":[51],"photoluminescence":[53],"(PL)":[54],"wavelengths":[55,80],"thermally":[57],"activated":[58],"delayed":[59],"fluorescence":[60],"molecules.":[61],"By":[62],"integrating":[63],"\"chemistry-aware\"":[64],"natural":[65],"language":[66],"processing":[67],"with":[68],"automated":[69],"chemical":[70],"structure":[71],"resolution,":[72],"a":[73,91,97,114,133],"dataset":[74],"643":[76],"measured":[78],"PL":[79],"was":[81],"afforded.":[82],"grounded":[85,142],"were":[87],"used":[88],"train":[90],"heterogeneous":[92],"graph":[93],"neural":[94],"network":[95],"and":[96,136],"ridge-regression":[98],"model;":[99],"both":[100],"achieved":[101],"mean":[102],"absolute":[103],"errors":[104],"below":[105],"0.13":[106],"eV":[107],"in":[108,147],"less":[109],"than":[110],"3":[111],"min":[112],"personal":[115],"laptop,":[116],"effectively":[117],"capturing":[118],"complex":[119],"structure-property":[120],"relationships":[121],"without":[122],"manual":[123],"feature":[124],"engineering.":[125],"These":[126],"results":[127],"demonstrate":[128],"our":[130],"provides":[132],"fast,":[134],"scalable,":[135],"generalizable":[137],"pathway":[138],"generate":[140],"models":[143],"property":[145],"predictions":[146],"organic":[148],"optoelectronics.":[149]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2026-05-14T00:00:00"}
