Open-Access Resources
Openly shared code and datasets accompanying published research. All repositories are freely available for use with proper citation.
Code for Optimized ANN-Based Prediction of Battery Capacity Using Voltage/Current Cycling Data
Implements an optimized Artificial Neural Network for predicting battery capacity from voltage and current cycling data, with Bayesian hyperparameter optimization.
Software: MATLAB
Code Reference/Citation:
Mohamad A. Raja et al. Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction. ACS Appl. Mater. Interfaces 2025, 17, 13, 20125–20137.
Mohamad A. Raja et al. Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction. ACS Appl. Mater. Interfaces 2025, 17, 13, 20125–20137.
Code for Structuring BMS Battery Cycling Data into Charge/Discharge Profiles for Analysis & ML
Parses and structures raw BMS battery cycling data into labeled charge and discharge profiles, ready for statistical analysis and machine learning pipelines.
Software: MATLAB
Code Reference/Citation:
Mohamad A. Raja et al. Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction. ACS Appl. Mater. Interfaces 2025, 17, 13, 20125–20137.
Mohamad A. Raja et al. Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction. ACS Appl. Mater. Interfaces 2025, 17, 13, 20125–20137.
Code for Image Processing of Carbon Fiber SEM Images to Determine Distribution & FVF
Image processing pipeline for analyzing carbon fiber SEM images for identifying fiber distribution, computing fiber volume fraction (FVF), and extracting microstructural statistics.
Software: MATLAB
Code Reference/Citation:
Mohamad A. Raja et al. Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics. ACS Appl. Mater. Interfaces 2024, 16, 43, 59128–59142.
Mohamad A. Raja et al. Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics. ACS Appl. Mater. Interfaces 2024, 16, 43, 59128–59142.
