{"id":"https://openalex.org/W4392114277","doi":"https://doi.org/10.1109/tbcas.2024.3366691","title":"GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers","display_name":"GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4392114277","doi":"https://doi.org/10.1109/tbcas.2024.3366691","pmid":"https://pubmed.ncbi.nlm.nih.gov/38393851"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2024.3366691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tbcas.2024.3366691","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Biomedical Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012890852","display_name":"Weiqing Ji","orcid":"https://orcid.org/0009-0009-0328-4241"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiqing Ji","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057660146","display_name":"Xingzhuo Guo","orcid":"https://orcid.org/0009-0006-8968-5633"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhuo Guo","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075981561","display_name":"Shouan Pan","orcid":"https://orcid.org/0009-0002-6830-7167"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouan Pan","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103127370","display_name":"Fei Long","orcid":"https://orcid.org/0000-0002-2569-6396"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Long","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062800747","display_name":"Tsung-Yi Ho","orcid":"https://orcid.org/0000-0001-7348-5625"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Yi Ho","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017567485","display_name":"Ulf Schlichtmann","orcid":"https://orcid.org/0000-0003-4431-7619"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulf Schlichtmann","raw_affiliation_strings":["Chair of Electronic Design Automation, Technical University of Munich (TUM), Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Electronic Design Automation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058812423","display_name":"Hailong Yao","orcid":"https://orcid.org/0000-0002-8750-3086"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Yao","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","Key Laboratory of Advanced Materials and Devices for Post-Moore Chips, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Advanced Materials and Devices for Post-Moore Chips, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012890852"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.7511,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65698771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"622","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12452","display_name":"Electrowetting and Microfluidic Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microfluidics","display_name":"Microfluidics","score":0.8535148501396179},{"id":"https://openalex.org/keywords/biochip","display_name":"Biochip","score":0.7180025577545166},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6262547969818115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604192316532135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4643431603908539},{"id":"https://openalex.org/keywords/volumetric-flow-rate","display_name":"Volumetric flow rate","score":0.42060866951942444},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3984948992729187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3775859475135803},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.362801194190979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3468456566333771},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20532968640327454},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19725939631462097},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.12030148506164551}],"concepts":[{"id":"https://openalex.org/C8673954","wikidata":"https://www.wikidata.org/wiki/Q138845","display_name":"Microfluidics","level":2,"score":0.8535148501396179},{"id":"https://openalex.org/C87892846","wikidata":"https://www.wikidata.org/wiki/Q864256","display_name":"Biochip","level":2,"score":0.7180025577545166},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6262547969818115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604192316532135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4643431603908539},{"id":"https://openalex.org/C172120300","wikidata":"https://www.wikidata.org/wiki/Q1134348","display_name":"Volumetric flow rate","level":2,"score":0.42060866951942444},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3984948992729187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3775859475135803},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.362801194190979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3468456566333771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20532968640327454},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19725939631462097},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.12030148506164551},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020342","descriptor_name":"Finite Element Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020342","descriptor_name":"Finite Element Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020342","descriptor_name":"Finite Element Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020342","descriptor_name":"Finite Element Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020342","descriptor_name":"Finite Element Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044085","descriptor_name":"Microfluidics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046210","descriptor_name":"Microfluidic Analytical Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056656","descriptor_name":"Lab-On-A-Chip Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056656","descriptor_name":"Lab-On-A-Chip Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056656","descriptor_name":"Lab-On-A-Chip Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056656","descriptor_name":"Lab-On-A-Chip Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056656","descriptor_name":"Lab-On-A-Chip Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbcas.2024.3366691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tbcas.2024.3366691","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:38393851","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38393851","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":"IEEE transactions on biomedical circuits and systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1563824926","display_name":null,"funder_award_id":"61974084","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1500036797","https://openalex.org/W1821462560","https://openalex.org/W1910126694","https://openalex.org/W1969435013","https://openalex.org/W1975944429","https://openalex.org/W1983105816","https://openalex.org/W2007104312","https://openalex.org/W2010326333","https://openalex.org/W2052580805","https://openalex.org/W2104622925","https://openalex.org/W2113749416","https://openalex.org/W2116341502","https://openalex.org/W2123370218","https://openalex.org/W2140974583","https://openalex.org/W2141089321","https://openalex.org/W2524975953","https://openalex.org/W2609159228","https://openalex.org/W2615975792","https://openalex.org/W2621425644","https://openalex.org/W2757330072","https://openalex.org/W2775257480","https://openalex.org/W2809484399","https://openalex.org/W2907492528","https://openalex.org/W2974057199","https://openalex.org/W2974867200","https://openalex.org/W2977416072","https://openalex.org/W2981449672","https://openalex.org/W3091963076","https://openalex.org/W3112314327","https://openalex.org/W3175199208","https://openalex.org/W3199061047","https://openalex.org/W3213412677","https://openalex.org/W4205624878","https://openalex.org/W4225528200","https://openalex.org/W4288419263","https://openalex.org/W4293025018","https://openalex.org/W4308633987","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6760045743","https://openalex.org/W6790505851"],"related_works":["https://openalex.org/W2364922518","https://openalex.org/W1995422305","https://openalex.org/W2361860382","https://openalex.org/W2379531326","https://openalex.org/W2604557458","https://openalex.org/W2544485685","https://openalex.org/W2353006359","https://openalex.org/W1834829329","https://openalex.org/W2738065864","https://openalex.org/W3011567024"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,85],"witnessed":[3],"significant":[4],"advances":[5],"brought":[6],"by":[7,219,233],"microfluidic":[8,42,69,145,178,205,241],"biochips":[9],"in":[10,47,88,94,194],"automating":[11],"biochemical":[12],"protocols.":[13],"Accurate":[14],"preparation":[15],"of":[16,23,37,66,113,166,192,196,243],"fluid":[17],"samples":[18],"is":[19,55,72,157],"an":[20,189],"essential":[21],"component":[22],"these":[24],"protocols,":[25],"where":[26],"concentration":[27,64,89,112,130],"prediction":[28,65,131,197,217,248],"and":[29,40,120],"generation":[30],"are":[31],"critical.":[32],"Equipped":[33],"with":[34,74,91,115,147,169,180,200,207,246],"the":[35,56,96,103,111,161,185,201,212,216,224,230,237],"advantages":[36],"convenient":[38],"fabrication":[39],"control,":[41],"mixers":[43,114,165,179,206,242],"demonstrate":[44],"huge":[45],"potential":[46,93],"sample":[48],"preparation.":[49],"Although":[50],"finite":[51],"element":[52],"analysis":[53],"(FEA)":[54],"most":[57],"commonly":[58],"used":[59],"simulation":[60],"method":[61,107,132,156,187,214,228],"for":[62,77,144,177,235,240],"accurate":[63],"a":[67,128,153],"given":[68],"mixer,":[70],"it":[71],"time-consuming":[73],"poor":[75],"scalability":[76],"large":[78],"biochip":[79],"sizes.":[80,122],"Recently,":[81],"machine":[82,105],"learning":[83,155,227],"models":[84],"been":[86],"adopted":[87],"prediction,":[90],"great":[92],"enhancing":[95],"efficiency":[97],"over":[98],"traditional":[99],"FEA":[100],"methods.":[101],"However,":[102],"state-of-the-art":[104,202],"learning-based":[106],"can":[108,140],"only":[109],"predict":[110,141],"fixed":[116,121,181],"input":[117,149,182,209],"flow":[118,150,183,210],"rates":[119],"In":[123],"this":[124],"paper,":[125],"we":[126],"propose":[127],"new":[129],"based":[133],"on":[134,221],"graph":[135],"neural":[136],"networks":[137],"(GNNs),":[138],"which":[139],"output":[142],"concentrations":[143],"mixters":[146],"variable":[148,208],"rates.":[151],"Moreover,":[152],"transfer":[154,160,226],"proposed":[158,186,213,225],"to":[159,164],"trained":[162],"model":[163,239],"different":[167,244],"sizes":[168,245],"reduced":[170],"training":[171,231],"data.":[172],"Experimental":[173],"results":[174],"show":[175],"that,":[176],"rates,":[184,211],"obtains":[188],"average":[190],"reduction":[191],"88%":[193],"terms":[195],"errors":[198],"compared":[199],"method.":[203],"For":[204],"reduces":[215,229],"error":[218],"85%":[220],"average.":[222],"Besides,":[223],"data":[232],"84%":[234],"extending":[236],"pre-trained":[238],"acceptable":[247],"error.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
