{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["35(21)"],"submitter":["Liu AL"],"pubmed_abstract":["Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based organic field-effect transistor (OFET) may vary by several orders of magnitude for a given polymer as a plethora of parameters related to solution processing, interface design/surface treatment, thin-film deposition, postprocessing, and measurement settings have a profound effect on the value of the final measurement. Incomplete contextual, experimental details hamper the availability of reusable data applicable for data-driven optimization, modeling (e.g., machine learning), a"],"journal":["Chemistry of materials : a publication of the American Chemical Society"],"pagination":["8816-8826"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10653076"],"repository":["biostudies-literature"],"pubmed_title":["Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors."],"pmcid":["PMC10653076"],"pubmed_authors":["Reichmanis E","Bonsu JA","Meredith JC","Volkovinsky R","Grover MA","Lee M","Venkatesh R","Liu AL"],"additional_accession":[]},"is_claimable":false,"name":"Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors.","description":"Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based organic field-effect transistor (OFET) may vary by several orders of magnitude for a given polymer as a plethora of parameters related to solution processing, interface design/surface treatment, thin-film deposition, postprocessing, and measurement settings have a profound effect on the value of the final measurement. Incomplete contextual, experimental details hamper the availability of reusable data applicable for data-driven optimization, modeling (e.g., machine learning), a","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Nov","modification":"2025-04-04T09:30:30.177Z","creation":"2025-04-04T09:30:30.177Z"},"accession":"S-EPMC10653076","cross_references":{"pubmed":["38027538"],"doi":["10.1021/acs.chemmater.3c01842"]}}