{"data":{"id":"10.4121/2040ea92-10a9-4b56-b1b0-36bcaddf0762","type":"dois","attributes":{"doi":"10.4121/2040ea92-10a9-4b56-b1b0-36bcaddf0762","prefix":"10.4121","suffix":"2040ea92-10a9-4b56-b1b0-36bcaddf0762","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Raja, Mohamad A.","nameType":"Personal","givenName":"Mohamad A.","familyName":"Raja","nameIdentifiers":[{"nameIdentifier":"0009-0007-4646-9751","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Kim, Seong Su","nameType":"Personal","givenName":"Seong Su","familyName":"Kim","nameIdentifiers":[{"nameIdentifier":"0000-0001-8722-0505","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Code for Optimized ANN-Based Prediction of Battery Capacity Using Voltage/Current Cycling Data. Related Paper: “Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction”"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Mechanical Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0913"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Energy Storage, Distribution and Supply","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8506"},{"subject":"Energy Conservation and Efficiency","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8507"},{"subject":"Aerospace Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0901"},{"subject":"Materials Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0912"},{"subject":"FOS: Materials engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Education and Training","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"93"},{"subject":"Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"85"},{"subject":"Information and Computing Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"08"},{"subject":"Battery capacity prediction"},{"subject":"Artificial neural network"},{"subject":"Bayesian optimization"},{"subject":"MATLAB"},{"subject":"Machine learning"}],"contributors":[{"name":"Korea Advanced Institute Of Science \u0026 Technology (KAIST), Department Of Mechanical Engineering","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"TU Delft, Faculty Of Aerospace Engineering, Department Of Aerospace Structures And Materials","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-05-19","dateType":"Issued"}],"language":"en","types":{"ris":"COMP","bibtex":"misc","citeproc":"article","schemaOrg":"SoftwareSourceCode","resourceType":"Software","resourceTypeGeneral":"Software"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1021/acsami.4c19073","relatedIdentifierType":"DOI"},{"relationType":"References","relatedIdentifier":"https://github.com/MohamadA-RJ/OptiANN_BatteryCapPred","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/2040ea92-10a9-4b56-b1b0-36bcaddf0762.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["MATLAB/.m/.mat Image/.png"],"version":"1","rightsList":[{"rights":"MIT License","rightsUri":"https://opensource.org/licenses/MIT","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"mit","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This repository contains MATLAB code for predicting battery capacity using an Artificial Neural Network (ANN) trained on structured cycling data. 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