{"id":"https://openalex.org/W4416366125","doi":"https://doi.org/10.4018/979-8-3373-2883-6.ch004","title":"Next Generation Sustainable Biocomposites Through Machine Learning","display_name":"Next Generation Sustainable Biocomposites Through Machine Learning","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416366125","doi":"https://doi.org/10.4018/979-8-3373-2883-6.ch004"},"language":"en","primary_location":{"id":"doi:10.4018/979-8-3373-2883-6.ch004","doi":"https://doi.org/10.4018/979-8-3373-2883-6.ch004","is_oa":false,"landing_page_url":"https://doi.org/10.4018/979-8-3373-2883-6.ch004","pdf_url":null,"source":{"id":"https://openalex.org/S4210180746","display_name":"Advances in computational intelligence and robotics book series","issn_l":"2327-0411","issn":["2327-0411","2327-042X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Computational Intelligence and Robotics","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4416366124","display_name":"Leveraging AI and Nanotechnology for Materials, Devices, and Manufacturing"},"type":"book-chapter","is_traditional":true,"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":"Safad Ismail","orcid":"https://orcid.org/0000-0001-5048-1920","observed_orcids":["https://orcid.org/0000-0001-5048-1920"]},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Safad Ismail","raw_affiliation_strings":["Muthoot Institute of Technology and Science, India"],"raw_orcid":"https://orcid.org/0000-0001-5048-1920","affiliations":[{"raw_affiliation_string":"Muthoot Institute of Technology and Science, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shibu K. R.","orcid":"https://orcid.org/0000-0001-6556-1173","observed_orcids":["https://orcid.org/0000-0001-6556-1173"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shibu K. R.","raw_affiliation_strings":["Saintgtis College of Engineering, India"],"raw_orcid":"https://orcid.org/0000-0001-6556-1173","affiliations":[{"raw_affiliation_string":"Saintgtis College of Engineering, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016560106","display_name":"F. Ajesh","orcid":"https://orcid.org/0000-0001-7019-0493","observed_orcids":["https://orcid.org/0000-0001-7019-0493"]},"institutions":[{"id":"https://openalex.org/I4405258373","display_name":"T.K.M Institute of Technology","ror":"https://ror.org/00j0x4512","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405258373"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"F. Ajesh","raw_affiliation_strings":["TKM Institute of Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKM Institute of Technology, India","institution_ids":["https://openalex.org/I4405258373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019088652","display_name":"Gautham Sreekumar","orcid":"https://orcid.org/0009-0001-0006-7331","observed_orcids":["https://orcid.org/0009-0001-0006-7331"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Sreekumar","raw_affiliation_strings":["College of Applied Science Perissery, IHRD, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Science Perissery, IHRD, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.948199987411499,"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":0.948199987411499,"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/T10513","display_name":"Natural Fiber Reinforced Composites","score":0.03920000046491623,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"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/T12938","display_name":"Material Selection and Properties","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2500","display_name":"General Materials Science"},"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/machine-learning","display_name":"machine learning","score":0.8199999928474426},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.9929999709129333},{"id":"https://openalex.org/keywords/vision-transformer","display_name":"vision transformer","score":0.8479999899864197},{"id":"https://openalex.org/keywords/physics-informed-neural-networks","display_name":"physics-informed neural networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/fiber-matrix-interaction","display_name":"fiber-matrix interaction","score":0.8759999871253967},{"id":"https://openalex.org/keywords/biodegradability-prediction","display_name":"biodegradability prediction","score":0.9879999756813049},{"id":"https://openalex.org/keywords/defect-detection","display_name":"defect detection","score":0.9819999933242798},{"id":"https://openalex.org/keywords/life-cycle-assessment","display_name":"life cycle assessment","score":0.9940000176429749},{"id":"https://openalex.org/keywords/responsible-ai","display_name":"responsible AI","score":0.7379999756813049},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.7770000100135803},{"id":"https://openalex.org/keywords/intellectual-property","display_name":"intellectual property","score":0.8009999990463257},{"id":"https://openalex.org/keywords/environmental-compliance","display_name":"environmental compliance","score":0.7620000243186951}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788000226020813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.48739999532699585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48089998960494995},{"id":"https://openalex.org/C2778706760","wikidata":"https://www.wikidata.org/wiki/Q581950","display_name":"Life-cycle assessment","level":3,"score":0.4007999897003174},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34850001335144043},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.30880001187324524},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C2993995501","wikidata":"https://www.wikidata.org/wiki/Q30038592","display_name":"Sustainable society","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C502907923","wikidata":"https://www.wikidata.org/wiki/Q7649686","display_name":"Sustainable products","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/979-8-3373-2883-6.ch004","doi":"https://doi.org/10.4018/979-8-3373-2883-6.ch004","is_oa":false,"landing_page_url":"https://doi.org/10.4018/979-8-3373-2883-6.ch004","pdf_url":null,"source":{"id":"https://openalex.org/S4210180746","display_name":"Advances in computational intelligence and robotics book series","issn_l":"2327-0411","issn":["2327-0411","2327-042X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Computational Intelligence and Robotics","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5925999879837036}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W3027363553","https://openalex.org/W4200001045","https://openalex.org/W4200406549","https://openalex.org/W4205549420","https://openalex.org/W4210251570","https://openalex.org/W4214730261","https://openalex.org/W4225995462","https://openalex.org/W4281263502","https://openalex.org/W4287282757","https://openalex.org/W4292210458","https://openalex.org/W4292976850","https://openalex.org/W4295249625","https://openalex.org/W4320482377","https://openalex.org/W4322581428","https://openalex.org/W4376601956","https://openalex.org/W4389092649","https://openalex.org/W4389450167","https://openalex.org/W4390036889","https://openalex.org/W4390825883","https://openalex.org/W4391937098","https://openalex.org/W4394742180","https://openalex.org/W4394961897","https://openalex.org/W4396665443","https://openalex.org/W4399238067","https://openalex.org/W4400117008","https://openalex.org/W4401401087","https://openalex.org/W4402158815","https://openalex.org/W4403650924","https://openalex.org/W4404535704","https://openalex.org/W4410207340","https://openalex.org/W4410477419","https://openalex.org/W7160844898"],"related_works":["https://openalex.org/W4220702240","https://openalex.org/W7139971500","https://openalex.org/W7118471515","https://openalex.org/W4386257023","https://openalex.org/W7168046154","https://openalex.org/W7140499610","https://openalex.org/W7203777718","https://openalex.org/W4411361813","https://openalex.org/W4414667833","https://openalex.org/W7216037234"],"abstract_inverted_index":{"In":[0],"the":[1,40,50],"pursuit":[2],"of":[3,42,55],"environmentally":[4],"responsible":[5,123],"innovation,":[6],"sustainable":[7,56,126],"bio-composites":[8],"have":[9],"emerged":[10],"as":[11,108],"vital":[12],"materials":[13],"in":[14,48,105,111,125],"construction,":[15],"automotive,":[16],"and":[17,27,34,53,67,78,89,102,117],"aerospace.":[18],"However,":[19],"traditional":[20],"methods":[21],"for":[22,122],"material":[23,94],"optimization,":[24],"defect":[25,84],"detection,":[26],"Life":[28],"Cycle":[29],"Assessment":[30],"are":[31],"often":[32],"labor-intensive":[33],"experimentally":[35],"challenging.":[36],"This":[37],"chapter":[38,97],"explores":[39],"role":[41],"advanced":[43],"Machine":[44],"Learning":[45],"(ML)":[46],"models":[47],"revolutionizing":[49],"design,":[51],"evaluation,":[52],"regulation":[54],"bio-composites.":[57,127],"Emphasis":[58],"is":[59],"placed":[60],"on":[61],"Graph":[62],"Neural":[63,69],"Networks,":[64],"Vision":[65],"Transformers,":[66],"Physics-Informed":[68],"Networks.":[70],"GNNs":[71],"model":[72],"fiber-matrix":[73],"interactions":[74],"to":[75,92],"predict":[76],"performance":[77],"biodegradability,":[79],"while":[80],"ViTs":[81],"enable":[82],"real-time":[83],"detection.":[85],"PINNs":[86],"integrate":[87],"physics-based":[88],"data-driven":[90],"learning":[91],"simulate":[93],"behavior.":[95],"The":[96],"also":[98],"addresses":[99],"ethical,":[100],"legal,":[101],"regulatory":[103],"issues":[104],"AI":[106,124],"integration\u2014such":[107],"data":[109],"privacy":[110],"ML-based":[112],"LCA":[113],"tools,":[114],"intellectual":[115],"property,":[116],"environmental":[118],"compliance\u2014offering":[119],"a":[120],"roadmap":[121]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-11-19T00:00:00"}
