| Abstract Scope |
LithiumX is a cross-disciplinary digital twin platform for inverse materials property selection and direct design in lithium-ion battery (LIB) systems. By embedding pseudodifferential operator (ΨDE)-based formulations into a hybrid modeling architecture, we integrate quantum-informed material behavior, nonlocal ionic/electronic transport, and frequency-dependent degradation phenomena across cell and pack levels. ΨDEs offer a rigorous bridge between discrete quantum models and continuum-scale behavior, ideal for multiscale LIB simulation. LithiumX couples these methods with PINN-based intelligent control, PID regulation, and real-time 3D visualization to enable materials-aware, system-level optimization. This approach supports forward and inverse design of novel LIB materials and architectures tailored to specific performance goals. LithiumX advances the integration of materials science, applied mathematics, and battery engineering for next-generation LIB design across automotive, aerospace, biomedical, and space applications. |