{"id":"https://openalex.org/W4401607487","doi":"https://doi.org/10.1109/tetci.2024.3436869","title":"Adaptative Scaler-Moment Crystal Graph Attention Neural Network for Material Property Prediction","display_name":"Adaptative Scaler-Moment Crystal Graph Attention Neural Network for Material Property Prediction","publication_year":2024,"publication_date":"2024-08-15","ids":{"openalex":"https://openalex.org/W4401607487","doi":"https://doi.org/10.1109/tetci.2024.3436869"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3436869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3436869","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055664655","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0002-2905-4753"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2905-4753","affiliations":[{"raw_affiliation_string":"National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080304378","display_name":"Lixin Tang","orcid":"https://orcid.org/0000-0002-9950-5169"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Tang","raw_affiliation_strings":["National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-9950-5169","affiliations":[{"raw_affiliation_string":"National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101908375","display_name":"Meiling Xu","orcid":"https://orcid.org/0000-0002-4226-5651"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiling Xu","raw_affiliation_strings":["Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-4226-5651","affiliations":[{"raw_affiliation_string":"Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.2759,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43901279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"9","issue":"4","first_page":"2728","last_page":"2742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9406999945640564,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6079452633857727},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5623471140861511},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48561230301856995},{"id":"https://openalex.org/keywords/crystal-structure-prediction","display_name":"Crystal structure prediction","score":0.47801077365875244},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4643196761608124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45251891016960144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38014641404151917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27130183577537537},{"id":"https://openalex.org/keywords/crystal-structure","display_name":"Crystal structure","score":0.23397749662399292},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16101300716400146},{"id":"https://openalex.org/keywords/crystallography","display_name":"Crystallography","score":0.14541789889335632},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10494917631149292},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0645764172077179}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6079452633857727},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5623471140861511},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48561230301856995},{"id":"https://openalex.org/C84947059","wikidata":"https://www.wikidata.org/wiki/Q5191417","display_name":"Crystal structure prediction","level":3,"score":0.47801077365875244},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4643196761608124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45251891016960144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38014641404151917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27130183577537537},{"id":"https://openalex.org/C115624301","wikidata":"https://www.wikidata.org/wiki/Q895901","display_name":"Crystal structure","level":2,"score":0.23397749662399292},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16101300716400146},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.14541789889335632},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10494917631149292},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0645764172077179},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3436869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3436869","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2311391187","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3162652209","display_name":null,"funder_award_id":"62176049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5303336969","display_name":null,"funder_award_id":"72192830","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G852931893","display_name":null,"funder_award_id":"72192831","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1992985800","https://openalex.org/W2003409240","https://openalex.org/W2016114852","https://openalex.org/W2018948722","https://openalex.org/W2034097448","https://openalex.org/W2068994203","https://openalex.org/W2086310984","https://openalex.org/W2109349396","https://openalex.org/W2120145199","https://openalex.org/W2127474646","https://openalex.org/W2143381319","https://openalex.org/W2167159964","https://openalex.org/W2278970271","https://openalex.org/W2464725281","https://openalex.org/W2540972871","https://openalex.org/W2733963201","https://openalex.org/W2734520197","https://openalex.org/W2735005031","https://openalex.org/W2766856748","https://openalex.org/W2767101995","https://openalex.org/W2778051509","https://openalex.org/W2791573349","https://openalex.org/W2801403847","https://openalex.org/W2804446681","https://openalex.org/W2827293090","https://openalex.org/W2890644749","https://openalex.org/W2902452488","https://openalex.org/W2907492528","https://openalex.org/W2915603306","https://openalex.org/W2949095042","https://openalex.org/W2950128007","https://openalex.org/W2950890616","https://openalex.org/W2964576007","https://openalex.org/W2964868046","https://openalex.org/W2978707075","https://openalex.org/W2980628255","https://openalex.org/W2981094887","https://openalex.org/W2990015413","https://openalex.org/W2993821814","https://openalex.org/W2998166751","https://openalex.org/W2999327200","https://openalex.org/W3009073833","https://openalex.org/W3013002235","https://openalex.org/W3013732669","https://openalex.org/W3039596418","https://openalex.org/W3040730260","https://openalex.org/W3042722891","https://openalex.org/W3049517558","https://openalex.org/W3061894519","https://openalex.org/W3080409317","https://openalex.org/W3088297452","https://openalex.org/W3089016698","https://openalex.org/W3200614847","https://openalex.org/W3212512279","https://openalex.org/W4225405705","https://openalex.org/W4226502504","https://openalex.org/W4285157402","https://openalex.org/W4316022134","https://openalex.org/W4324291242","https://openalex.org/W4384154882","https://openalex.org/W4386432066","https://openalex.org/W6740858309","https://openalex.org/W6751594377","https://openalex.org/W6756286733","https://openalex.org/W6767462622","https://openalex.org/W6775947557","https://openalex.org/W6794600162","https://openalex.org/W6798019188"],"related_works":["https://openalex.org/W2091732774","https://openalex.org/W623345279","https://openalex.org/W2919757990","https://openalex.org/W4248648381","https://openalex.org/W4249932522","https://openalex.org/W2565008761","https://openalex.org/W2058811991","https://openalex.org/W2788005323","https://openalex.org/W3138512963","https://openalex.org/W2950476923"],"abstract_inverted_index":{"Graph":[0,90],"neural":[1,57,67],"networks":[2],"have":[3],"gained":[4],"increasing":[5],"popularity":[6],"for":[7,60,150],"predicting":[8,61],"crystal":[9,54,62],"material":[10,63,152],"properties.":[11,64],"However,":[12],"significant":[13],"dilemmas":[14],"are":[15],"involved":[16],"in":[17,145,154],"designing":[18],"such":[19],"models:":[20],"(i)":[21],"chemical":[22,40,80],"information":[23,81,94,100],"about":[24],"crystals":[25],"is":[26,35,69,140],"difficult":[27],"to":[28,37,42,116,142],"capture,":[29],"and":[30,76,87,104,122,133,163,182],"(ii)":[31],"a":[32],"complex":[33],"model":[34],"required":[36],"map":[38],"the":[39,43,84,93,102,111,119,130,178,186],"space":[41],"property":[44],"space.":[45],"In":[46,107],"this":[47],"study,":[48],"we":[49,109],"develop":[50],"an":[51,126],"adaptative":[52],"scaler-moment":[53],"graph":[55,66],"attention":[56,77],"network":[58,68,123],"(SM-CGANN)":[59],"The":[65],"enhanced":[70],"using":[71,185],"scalar":[72],"moment":[73],"aggregation":[74],"functions":[75],"mechanism,":[78],"controlling":[79],"exchange":[82],"between":[83,101,129],"central":[85],"atom":[86],"its":[88],"neighbors.":[89],"pooling":[91],"increases":[92],"transmission":[95],"rate":[96],"by":[97],"maximizing":[98],"mutual":[99],"pooled":[103],"input":[105],"graphs.":[106],"addition,":[108],"incorporate":[110],"multi-objective":[112],"Bayesian":[113],"optimization":[114],"method":[115,139],"quickly":[117],"find":[118],"best":[120],"hyperparameters":[121],"architecture,":[124],"ensuring":[125],"adaptive":[127],"balance":[128],"prediction":[131],"accuracy":[132,148],"spatial":[134],"complexity":[135],"of":[136,147,174,180],"SM-CGANN.":[137],"This":[138],"superior":[141],"state-art-of":[143],"models":[144],"terms":[146],"performance":[149,173],"different":[151],"properties":[153],"density":[155],"function":[156],"functional":[157],"theory":[158],"calculation":[159],"datasets":[160],"(Materials":[161],"Project":[162],"Open":[164,187],"Quantum":[165,188],"Materials":[166,189],"Database).":[167],"Moreover,":[168],"it":[169],"provides":[170],"highly":[171],"accurate":[172],"end-user":[175],"scenarios":[176],"involving":[177],"classification":[179],"metal/nonmetal":[181],"high-/weak-magnetic":[183],"materials":[184],"Database":[190],"dataset.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}