Batteries (PyBaMM-style)

Cycle life & RUL

fit_cycle_life fits a semi-empirical capacity-fade model (power-law + Arrhenius temperature term, 1800 K scale) to cycler rows; predict_rul gives remaining-useful- life with a split-conformal prediction interval.

Electrolyte QSPR

Mixture viscosity/density/conductivity from component data, or an honest atom-count group contribution from SMILES when measured conductivity is missing. screen_electrolytes applies constraints and ranks mixtures; aging_analytics reports coulombic efficiency, retention and fade rate.

Input

Feed raw cycler CSV through the battery-cycler instrument parser first for structured rows. The physics tier adds discharge simulation, cell design and EIS Nyquist fitting.