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AIKEMICS / Platform /CO-SIMU
Studio · CO-SIMU

Mesoscopic simulators, ready to deploy on your line.

The first Studio product family, available today. CO-SIMU packages validated mesoscopic simulators of every electrode process step (slurry, drying, calendering, infiltration) built on CGMD, DEM, LBM and FEM. Each module is qualified against your own samples before delivery.

What CO-SIMU is

Mesoscopic physics. Not a black-box surrogate.

CO-SIMU bundles the validated mesoscopic models behind 13+ years of LRCS computational modeling and AI research into deployable simulators. Each module resolves the real physics of its process step (particle dynamics, capillary flows, mechanical compression, multiphase transport) at the scale where electrode performance actually gets decided.

The result is 3D-to-3D simulation: your formulation and process parameters in, your electrode microstructure and performance metrics out. Not regressions. Not statistical fits. The same physics you would compute in a research code, packaged for engineering use and qualified on your data before any license is signed.

The CO-SIMU module stack

One simulator per process step.

01 / 04

MIX — Slurry & mixing

Discrete element and coarse-grained molecular dynamics capture active material, binder, carbon and solvent interactions. Predicts particle dispersion uniformity, density, viscosity and rheology under different mixing conditions before the first batch is mixed.

02 / 04

DRY — Coating & drying

Simulates solvent evaporation dynamics, particle rearrangement and binder migration during drying. Evaluates temperature profiles, airflow and coating thickness against the resulting electrode morphology, including binder-rich layers and cracking.

03 / 04

CAL — Calendering

DEM compression of the dried electrode. Predicts porosity, particle deformation, spring-back, contact resistance and fracture risk as functions of roll pressure and speed. Materials and calendering strategies get screened without physical trials.

04 / 04

INF — Electrolyte infiltration

Lattice Boltzmann, finite element and finite volume CFD simulate fluid flow into the porous electrode and across full cell geometries. Predicts infiltration time, wettability and void formation under varying pressure, temperature and solvent properties.

CO-SIMU at a glance
4
process steps from slurry to infiltration
3D → 3D
real microstructures in, real microstructures out
today
available now — first Studio family shipped
How an engagement runs

Qualified on your data before any license is signed.

The protocol is concrete. You provide samples representative of your line (particle size distributions, formulation, electrode porosity, characterization images). We run the candidate CO-SIMU module against your samples and check that it converges to your reality. If it does, we deliver. If it does not, we extend the model until it does, with scope agreed up front.

Setup is short by design. A typical qualification takes a few days plus one to two days of training and support. First-time configurations for multi-scale or fully custom cases run longer. Delivery is a library or binary where confidentiality allows, or a hosted deployment on your cloud or on-premise infrastructure.

Common questions

What buyers ask about CO-SIMU.

NMC-based formulations are the most mature today. LFP, sodium-ion and solid-state extensions are on the roadmap; bespoke chemistry extensions are available as part of a scoped engagement when a customer needs them ahead of the standard release.
CO-SIMU is the model library developed by Prof. Alejandro A. Franco's research group, packaged for engineering use. The models are calibrated against industrial scenarios, wrapped with validity guards that flag out-of-domain inputs, and qualified on your samples before delivery. The underlying physics is the same. The difference is that you get a deployable, supported tool instead of a research codebase.
Yes. The 3D microstructures produced at each step feed the next: slurry into drying, drying into calendering, calendering into infiltration, and the final structure into formation and performance modeling. Each step carries the upstream history forward. That is the point of the chain.
As a library or binary where confidentiality requirements allow direct deployment, or as a hosted deployment on your cloud or on-premise servers when sensitive IP or compute requirements call for it. Both modes are first-class. Choice is driven by your data governance and your hardware, not by a default we impose.
CO-SIMU

Bring a sample. We will tell you whether the model converges.

Send a representative dataset for one process step. We qualify the matching CO-SIMU module against your samples and return a deployment proposal.