Datasets

• 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”
• Code for Structuring BMS Battery Cycling Data into Charge/Discharge Profiles for Analysis & ML. Related Paper: "Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction"
• Code for composite SEM image processing, underlying the publication: Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics

• MATLAB Code for Structuring BMS Battery Cycling Data into Charge/Discharge Profiles for Analysis & ML. Related Paper: "Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction"

Co-authors

Co-authors of Seong Su Kim's datasets/collections. Bold: authors with a 4TU.ResearchData account.

• Mohamad A. Raja