{"id":"https://openalex.org/W3005854942","doi":null,"title":"Discovery of Materials Through Applied Machine Learning","display_name":"Discovery of Materials Through Applied Machine Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3005854942","mag":"3005854942"},"language":"en","primary_location":{"id":"pmh:oai:scholarcommons.sc.edu:etd-6550","doi":null,"is_oa":false,"landing_page_url":"https://scholarcommons.sc.edu/etd/5562","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5023912831","display_name":"Travis Williams","orcid":"https://orcid.org/0000-0003-3345-0086","observed_orcids":["https://orcid.org/0000-0003-3345-0086"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Travis Williams","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3345-0086","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5023912831"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12535098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":1.0,"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":1.0,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12938","display_name":"Material Selection and Properties","score":0.0,"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/materials-discovery","display_name":"materials discovery","score":0.8700000047683716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7329999804496765},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9700000286102295},{"id":"https://openalex.org/keywords/amorphous-alloys","display_name":"amorphous alloys","score":0.722000002861023},{"id":"https://openalex.org/keywords/ammonia-decomposition","display_name":"ammonia decomposition","score":0.8130000233650208},{"id":"https://openalex.org/keywords/catalysts","display_name":"catalysts","score":0.7730000019073486},{"id":"https://openalex.org/keywords/compositional-gradient","display_name":"compositional gradient","score":0.8690000176429749},{"id":"https://openalex.org/keywords/high-throughput-characterization","display_name":"high-throughput characterization","score":0.953000009059906},{"id":"https://openalex.org/keywords/property-prediction","display_name":"property prediction","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4194552004337311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35709208250045776}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:scholarcommons.sc.edu:etd-6550","doi":null,"is_oa":false,"landing_page_url":"https://scholarcommons.sc.edu/etd/5562","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"text"},{"id":"mag:3005854942","doi":null,"is_oa":false,"landing_page_url":"https://scholarcommons.sc.edu/etd/5562/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7211891809","https://openalex.org/W4360603775","https://openalex.org/W3118086237","https://openalex.org/W3023094935","https://openalex.org/W4308602444","https://openalex.org/W7204753876","https://openalex.org/W4401351858","https://openalex.org/W3036776898","https://openalex.org/W4220751823","https://openalex.org/W3199472767"],"abstract_inverted_index":{"Advances":[0],"in":[1,12],"artificial":[2],"intelligence":[3],"technology,":[4],"specifically":[5],"machine":[6,45,97,102],"learning,":[7],"have":[8],"cre-":[9],"ated":[10],"opportunities":[11],"the":[13,25,29,37,55,86],"material":[14,18,35],"sciences":[15],"to":[16,47,54,108,134],"accelerate":[17],"discovery":[19,50,112,115,124,136],"and":[20,36,57,90,123,131],"gain":[21],"fundamental":[22],"understanding":[23],"of":[24,33,44,60,78,83,116,125,137],"interaction":[26],"between":[27],"certain":[28],"constituent":[30],"ele-":[31],"ments":[32],"a":[34],"properties":[38],"expressed":[39],"by":[40],"that":[41],"material.":[42],"Application":[43],"learning":[46,103],"experimental":[48,61,88],"materials":[49,111],"is":[51],"slow":[52],"due":[53],"monetary":[56],"temporal":[58],"cost":[59],"data,":[62],"but":[63],"parallel":[64],"techniques":[65],"such":[66],"as":[67],"continuous":[68],"com-":[69],"positional":[70],"gradients":[71],"or":[72],"high-throughput":[73],"characterization":[74],"setups":[75],"are":[76,92],"capable":[77],"gener-":[79],"ating":[80],"larger":[81],"amounts":[82],"data":[84],"than":[85],"typical":[87],"process,":[89],"therefore":[91],"suitable":[93],"for":[94],"combination":[95],"with":[96],"learning.":[98],"A":[99],"random":[100],"forest":[101],"algorithm":[104],"has":[105,132],"been":[106],"applied":[107],"two":[109],"different":[110],"challenges":[113],"-":[114,130],"new":[117],"metallic":[118],"glass":[119],"forming":[120],"ternary":[121],"compositions":[122],"novel":[126],"ammonia":[127],"decomposition":[128],"catalysts":[129],"led":[133],"accelerated":[135],"high-performing":[138],"materials.":[139]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2020-02-24T00:00:00"}