From multiscale electrochemistry to industrial digital twins.
Aikemics is built on a lineage of computational modeling, AI and manufacturing research: physics-first models, multiscale validation, data-driven surrogate workflows and deployment with European industry.
From battery chemistry to the factory line.
We develop multiscale models that connect electrode microstructure, slurry and coating behavior, calendering mechanics, electrolyte wetting and cell performance.
The approach is physics-based: every prediction traces back to first-principles transport, electrochemistry and materials physics.
Hybrid AI is used where it earns its place: surrogate models for speed, uncertainty quantification for clarity, inverse design to solve industrial targets.
Transparency, trust and industrial utility.
White-box scientific models
Models are derived from electrochemical theory. Every prediction traces back to physics and experiment.
Uncertainty clarity
We quantify how confident each result is, so engineers can separate reliable decisions from exploratory scenarios.
Integrated for industry
Validated models ship packaged for MES/SCADA, APIs, operator workflows and private European cloud deployment.
Lower waste, lower footprint
Fewer scrapped electrodes and shorter ramp-ups cut the materials and energy consumed per cell shipped.
Bring validated models to your process.
We translate advanced electrochemistry and manufacturing simulation into concrete process wins: fewer prototypes, faster ramp-up and less scrap on the way to steady state.