{"id":"https://openalex.org/W4318148169","doi":"https://doi.org/10.1109/bigdata55660.2022.10020429","title":"MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning","display_name":"MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318148169","doi":"https://doi.org/10.1109/bigdata55660.2022.10020429"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020429","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020429","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1965258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080258482","display_name":"Anika Tabassum","orcid":"https://orcid.org/0000-0002-5460-0955"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anika Tabassum","raw_affiliation_strings":["Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074615163","display_name":"Nikhil Muralidhar","orcid":"https://orcid.org/0000-0001-7068-2981"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Muralidhar","raw_affiliation_strings":["Stevens Institute of Technology,Department of Computer Science","Department of Computer Science, Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Computer Science","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Department of Computer Science, Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014168997","display_name":"Ramakrishnan Kannan","orcid":"https://orcid.org/0000-0002-5852-4806"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Kannan","raw_affiliation_strings":["Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022232087","display_name":"Srikanth Allu","orcid":"https://orcid.org/0000-0003-2841-4398"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srikanth Allu","raw_affiliation_strings":["Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080258482"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.1193,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46578648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1936","last_page":"1941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9930999875068665,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.5933437347412109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584547758102417},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5757855176925659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44558584690093994},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.44130924344062805},{"id":"https://openalex.org/keywords/electrode","display_name":"Electrode","score":0.42424285411834717},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41255834698677063},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.34848207235336304},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1263536512851715},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.11389440298080444},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1120113730430603}],"concepts":[{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.5933437347412109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584547758102417},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5757855176925659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44558584690093994},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.44130924344062805},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.42424285411834717},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41255834698677063},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.34848207235336304},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1263536512851715},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.11389440298080444},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1120113730430603},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020429","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020429","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1965258","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1965258","pdf_url":"https://www.osti.gov/servlets/purl/1965258","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":"pmh:oai:osti.gov:1965258","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1965258","pdf_url":"https://www.osti.gov/servlets/purl/1965258","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},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8500000238418579,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1489425746","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G1645119126","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1719536385","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2296932962","display_name":null,"funder_award_id":"DE-AC05-00OR227","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3299391273","display_name":null,"funder_award_id":"E-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G4370606643","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G4423657506","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320338287","funder_display_name":"Oak Ridge National Laboratory"},{"id":"https://openalex.org/G454250190","display_name":null,"funder_award_id":"SciDAC","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G4694431782","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G5261452142","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320333916","funder_display_name":"Office of Electricity"},{"id":"https://openalex.org/G5600677258","display_name":null,"funder_award_id":"U.S. DOE","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6488227018","display_name":null,"funder_award_id":"DE-AC05-00OR227","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G675320460","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320338287","funder_display_name":"Oak Ridge National Laboratory"},{"id":"https://openalex.org/G691578896","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7085873835","display_name":null,"funder_award_id":"SciDAC","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7114708214","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320338287","funder_display_name":"Oak Ridge National Laboratory"},{"id":"https://openalex.org/G7995982022","display_name":null,"funder_award_id":"DE-AC05","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8269158468","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8344606036","display_name":null,"funder_award_id":"SciDAC","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8414908677","display_name":null,"funder_award_id":"DE-AC0","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8799952057","display_name":null,"funder_award_id":"DE-AC05-00OR22","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8906985441","display_name":null,"funder_award_id":"00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320333916","display_name":"Office of Electricity","ror":null},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"},{"id":"https://openalex.org/F4320338287","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318148169.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1926441960","https://openalex.org/W2194775991","https://openalex.org/W2630837129","https://openalex.org/W2740637966","https://openalex.org/W2784080969","https://openalex.org/W2883903407","https://openalex.org/W2884436604","https://openalex.org/W2963150697","https://openalex.org/W2963881378","https://openalex.org/W2964341142","https://openalex.org/W3021912390","https://openalex.org/W3088226460","https://openalex.org/W3142849873","https://openalex.org/W3190548144","https://openalex.org/W3202103480","https://openalex.org/W4289766026","https://openalex.org/W6617145748","https://openalex.org/W6739185338","https://openalex.org/W6753033005","https://openalex.org/W6769358321","https://openalex.org/W6780028523"],"related_works":["https://openalex.org/W2393554192","https://openalex.org/W2359463116","https://openalex.org/W2362875760","https://openalex.org/W392422591","https://openalex.org/W1968527418","https://openalex.org/W2392518446","https://openalex.org/W2214518107","https://openalex.org/W2122637380","https://openalex.org/W2362127092","https://openalex.org/W2011733828"],"abstract_inverted_index":{"Li-ion":[0],"Batteries":[1],"(LIB),":[2],"one":[3],"of":[4,21,33,45,58,66,77,112,125,144,169],"the":[5,43,75,113,122,141,191,198,223],"most":[6],"efficient":[7],"energy":[8],"storage":[9],"devices,":[10],"are":[11,24],"used":[12],"extensively":[13],"in":[14,109,121,149,222],"many":[15],"industrial":[16],"applications.":[17],"These":[18,79],"batteries":[19],"consist":[20],"electrodes":[22,36,67],"that":[23],"put":[25],"together":[26],"with":[27],"heterogeneous":[28],"material":[29,46,59,89,114,126,146,170],"compositions.":[30],"Imaging":[31],"data":[32],"these":[34,101],"battery":[35,150],"obtained":[37],"from":[38,83],"X-ray":[39],"tomography":[40],"can":[41,116],"explain":[42],"distribution":[44,148],"constituents":[47,60,102,115],"and":[48,99,193,215],"allow":[49],"reconstructions":[50,57],"to":[51,97,118,139,162,176,188,207,210],"study":[52],"electron":[53],"transport":[54],"pathways.":[55],"Such":[56],"help":[61],"quantify":[62],"various":[63],"associated":[64],"properties":[65,127],"(e.g.,":[68,128],"volume-specific":[69],"surface":[70],"area,":[71],"porosity)":[72],"which":[73],"determine":[74],"performance":[76,224],"batteries.":[78],"images":[80],"often":[81],"suffer":[82],"low":[84],"image":[85],"contrast":[86],"between":[87],"multiple":[88],"constituents,":[90],"hence":[91],"making":[92],"it":[93],"difficult":[94],"for":[95],"humans":[96],"distinguish":[98],"characterize":[100],"through":[103],"visual":[104],"inspection.":[105],"A":[106],"minor":[107],"error":[108],"detecting":[110],"distributions":[111],"lead":[117],"magnified":[119],"errors":[120],"calculated":[123],"parameters":[124],"porosity).":[129],"We":[130],"present":[131],"MatPhase,":[132],"a":[133,173],"novel":[134],"hierarchical":[135],"curriculum":[136],"learning":[137],"technique":[138],"address":[140],"complex":[142],"task":[143],"estimating":[145],"constituent":[147],"electrodes.":[151],"MatPhase":[152,203],"comprises":[153],"three":[154],"modules:":[155],"(i)":[156],"an":[157,185],"uncertainty-aware":[158],"global":[159,167,194],"model":[160,175,187],"trained":[161],"yield":[163],"inferences":[164],"conditioned":[165],"upon":[166],"knowledge":[168],"distribution,":[171],"(ii)":[172],"local":[174,192],"capture":[177],"relatively":[178],"more":[179],"fine-grained":[180],"(local)":[181],"distributional":[182],"signals,":[183],"(iii)":[184],"aggregator":[186],"appropriately":[189],"fuse":[190],"effects":[195],"towards":[196],"obtaining":[197],"final":[199],"distribution.":[200],"On":[201],"average,":[202],"improves":[204],"prediction":[205],"up":[206],"8.5%":[208],"relative":[209],"other":[211],"sophisticated":[212],"modeling":[213],"pipelines":[214],"state-of-the-arts":[216],"(SOTA)":[217],"object":[218],"detection":[219],"models":[220],"employed":[221],"comparison.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}