• Validated and reviewed 'Deep Learning approach for the discovery of spintronic materials' research paper and collaborated with the project team• Extracted elemental data from Material Project Database using Pymategen for recognizing features and performed feature engineering• Enhanced magnetic material classifier by 3% using PyTorch-based ANN, hyperparameter-tuned with Ray Tune, achieving 91% accuracy• Explored ML models (Logistic Regression, KNN, DT, Random Forest, AdaBoost), achieved 91% accuracy and 0.94 f1-score with RFC

Molecular dynamics simmulation of Janus Particles using LAMMPS and LBM