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Simpal
A Virtual Lab
Co-financed by the European Union

Physics-informed Material Intelligence For Polymer R&D

Simpal uses molecular simulation and AI/ML models to predict how materials flow, deform, and interact before physical testing begins.

Scientific Core Modules

ηT
Rheology Tests
Predict viscosity, shear-thinning behavior, and flow response across processing-relevant conditions.
L₀ΔLFF
Mechanical Tests
Estimate tensile strength, stiffness, and deformation behavior before running a single physical test.
DHPINTERACTION RADIUS R₀PSRa
Compatibility Tests
Check polymer–polymer, additive, adhesive, and coating compatibility under processing conditions.

Molecular AI supervision (beta)

Simpal keeps simulated polymer family, formulation context, validation status and uncertainty attached to every prediction.

I
Virtual Lab Simulations

Generates polymer-physics descriptors

Virtual Experimental Data
II
Molecular AI Ingestion

Learns structure-property relationship

III
Knowledge Intelligence Layer

Formulation & processing context awareness

Our Origin

From lab iteration to digital R&D.

EcoPals develops polymer-modified materials where formulation decisions depend on rheology, mechanics, compatibility and processing behavior across complex material systems.

Traditional material development often requires repeated formulation–test–reformulation cycles. Simpal was built to reduce uninformative experiments by creating digital material specimens, running physics-informed virtual tests and identifying the next most valuable validation step.

Physical testing remains essential. Simpal does not replace measurement; it narrows the search space, explains property regimes and makes validation more targeted, traceable and data-rich.

-50%Time & Costs
↓ CO₂Physical Waste

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