Projects
Zero-Dimensional Digital Twin for Redox Flow BatteriesHigh-fidelity stack-scale RFB simulation generalised for any redox chemistry. Simulates days of cycling in seconds.Digital TwinRedox Flow BatteriesPhysics-Informed ModellingPython+
Developed during my master's at MIT (Brushett Lab). Presents a zero-dimensional model generalised for any redox chemistry and operating conditions — capable of simulating stack-scale cycling at high fidelity in seconds. Enables fast design iteration and real-time control applications. Awarded best MSci project in physical chemistry at Imperial. Published in the Journal of The Electrochemical Society (Q1).
Gaussian Process Inference of Li-ion Thermal Runaway KineticsSurrogate model that extracts failure dynamics from sparse, noisy experimental data — making physically unobservable states predictable.Gaussian ProcessesThermal RunawayLi-ion BatteriesSurrogate Modelling+
Built during a research placement at the Faraday Institution. Uses Gaussian Processes to infer electrolyte decomposition reaction networks from sparse concentration profile data. Latin Hypercube Sampling generates candidate frequency factor sets; the GP surrogate inverts this to estimate kinetic parameters from real experimental data. Robust parameter optimisation via continuous rank probability score. Published in Computer Aided Chemical Engineering.