{"id":"https://openalex.org/W4401508095","doi":"https://doi.org/10.1109/tc.2024.3441828","title":"Deep Learning Acceleration Optimization of Stress Boundary Value Problem Solvers","display_name":"Deep Learning Acceleration Optimization of Stress Boundary Value Problem Solvers","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401508095","doi":"https://doi.org/10.1109/tc.2024.3441828"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2024.3441828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3441828","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"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 Computers","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":null,"display_name":"Yongsheng Chen","orcid":"https://orcid.org/0009-0001-7129-7660"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Chen","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-7129-7660","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007409112","display_name":"Zhuowei Wang","orcid":"https://orcid.org/0000-0001-6479-5154"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuowei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6479-5154","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082437433","display_name":"Xiaoyu Song","orcid":"https://orcid.org/0000-0002-6583-9400"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyu Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA"],"raw_orcid":"https://orcid.org/0000-0002-6583-9400","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhe Yan","orcid":"https://orcid.org/0009-0001-0985-8412"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Yan","raw_affiliation_strings":["School of Materials and Energy, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-0985-8412","affiliations":[{"raw_affiliation_string":"School of Materials and Energy, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032362514","display_name":"Lianglun Cheng","orcid":"https://orcid.org/0000-0002-8213-041X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianglun Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8213-041X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11544073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"12","first_page":"2844","last_page":"2854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.9660999774932861,"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/T10260","display_name":"Software Engineering Research","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7434664368629456},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6891462802886963},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6837975382804871},{"id":"https://openalex.org/keywords/boundary-value-problem","display_name":"Boundary value problem","score":0.539689302444458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5155565738677979},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49674779176712036},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4873877167701721},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4796503186225891},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47512394189834595},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.475012868642807},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4281773567199707},{"id":"https://openalex.org/keywords/stress-field","display_name":"Stress field","score":0.42439964413642883},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.40560874342918396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4011887311935425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3553789258003235},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3475496768951416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23264062404632568},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.20010685920715332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1449253261089325},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.08277997374534607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434664368629456},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6891462802886963},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6837975382804871},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.539689302444458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5155565738677979},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49674779176712036},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4873877167701721},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4796503186225891},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47512394189834595},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.475012868642807},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4281773567199707},{"id":"https://openalex.org/C2778414698","wikidata":"https://www.wikidata.org/wiki/Q7623438","display_name":"Stress field","level":3,"score":0.42439964413642883},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.40560874342918396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4011887311935425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553789258003235},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3475496768951416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23264062404632568},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.20010685920715332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1449253261089325},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.08277997374534607},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tc.2024.3441828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3441828","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"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 Computers","raw_type":"journal-article"},{"id":"pmh:oai:pdxscholar.library.pdx.edu:ece_fac-1829","is_oa":false,"landing_page_url":"https://pdxscholar.library.pdx.edu/ece_fac/818","pdf_url":null,"source":{"id":"https://openalex.org/S4377196300","display_name":"PDXScholar  (Portland State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126345244","host_organization_name":"Portland State University","host_organization_lineage":["https://openalex.org/I126345244"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical and Computer Engineering Faculty Publications and Presentations","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2622263826","https://openalex.org/W2785024182","https://openalex.org/W2795757111","https://openalex.org/W2899283552","https://openalex.org/W2927592310","https://openalex.org/W2967095864","https://openalex.org/W2979786244","https://openalex.org/W2980664556","https://openalex.org/W2998847955","https://openalex.org/W3003922491","https://openalex.org/W3025017190","https://openalex.org/W3034429256","https://openalex.org/W3106803824","https://openalex.org/W3132107458","https://openalex.org/W3137392741","https://openalex.org/W4226480439","https://openalex.org/W4287756134","https://openalex.org/W4293192094","https://openalex.org/W4301239768","https://openalex.org/W4316034881","https://openalex.org/W4318570491","https://openalex.org/W4320036918","https://openalex.org/W4324067490","https://openalex.org/W4376627357","https://openalex.org/W4385370256","https://openalex.org/W4386064721","https://openalex.org/W4390872447","https://openalex.org/W6739622702","https://openalex.org/W6748177122","https://openalex.org/W6748645090","https://openalex.org/W6750141933","https://openalex.org/W6784425352","https://openalex.org/W6929334658"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W3157543420"],"abstract_inverted_index":{"The":[0],"solution":[1],"to":[2,34,56,117,155,174],"boundary":[3,41],"value":[4,42],"problems":[5],"is":[6,110,124],"of":[7,84,93,108,121,135],"great":[8],"significance":[9],"in":[10,29,61],"industrial":[11,192],"software":[12,193],"applications.":[13,194],"In":[14],"this":[15],"paper,":[16],"we":[17,77,167],"propose":[18],"a":[19,37,79,90,150,178],"novel":[20],"deep":[21],"learning":[22],"method":[23],"for":[24,39,190],"simulating":[25],"stress":[26,40,60,72,97],"field":[27],"distributions":[28],"simply":[30],"supported":[31],"beams,":[32],"aiming":[33],"serve":[35],"as":[36],"solver":[38],"problems.":[43],"Our":[44],"regression":[45],"network,":[46],"Stress-EA,":[47],"utilizes":[48],"the":[49,59,62,66,71,96,101,105,118,128,187],"convolution":[50],"encoder":[51],"module":[52],"and":[53,131,148,161],"additive":[54],"attention":[55],"accurately":[57],"estimate":[58],"beam.":[63],"By":[64],"comparing":[65],"Stress-EA":[67,109],"prediction":[68,106,152],"results":[69,157],"with":[70],"values":[73,98],"calculated":[74],"using":[75,159],"ABAQUS,":[76,122],"achieve":[78],"mean":[80],"absolute":[81],"error":[82],"(MAE)":[83],"less":[85,146],"than":[86],"0.06.":[87],"This":[88,126,184],"indicates":[89],"high":[91,129],"level":[92],"consistency":[94],"between":[95],"obtained":[99,158],"from":[100],"two":[102],"approaches.":[103],"Moreover,":[104],"time":[107,120,153],"significantly":[111],"shorter,":[112],"taking":[113],"only":[114],"0.0011s,":[115],"compared":[116,154],"calculation":[119],"which":[123],"16.91s.":[125],"demonstrates":[127],"accuracy":[130],"low":[132],"computational":[133],"latency":[134],"our":[136,139],"model.":[137],"Furthermore,":[138],"model":[140,143],"exhibits":[141],"smaller":[142],"parameters,":[144],"requires":[145],"computation,":[147],"has":[149],"shorter":[151],"training":[156],"classic":[160],"advanced":[162],"networks.":[163],"To":[164],"accelerate":[165],"training,":[166],"utilize":[168],"data":[169],"parallel":[170],"methods,":[171],"achieving":[172],"up":[173],"1.89":[175],"speedup":[176],"on":[177],"dual-GPU":[179],"platform":[180],"without":[181],"compromising":[182],"accuracy.":[183],"advancement":[185],"enhances":[186],"computing":[188],"efficiency":[189],"large-scale":[191]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
