Advanced Materials Suite

Brain Train

Simulate every failure mode before a single gram is produced.

Platform Overview

Built for Discovery

Brain Train was built on a straightforward premise: the most expensive moment to discover a material's failure mode is after it has been synthesised, tested, and specified into a product. The computational cost of running a simulation is a fraction of the material cost of running a failed experiment — and the insight from simulation is infinitely more actionable than the insight from a broken test specimen. Brain Train brings that logic to scale.

The platform models bio-inspired hexagonal lattice composites at the molecular level, predicting how a material will behave under stress, thermal cycling, chemical exposure, and fatigue before any physical material exists. Simulations run from single unit-cell analysis through to full structural assembly performance — providing a continuous chain of validated predictions from molecular geometry to macroscopic behaviour.

Used across aerospace, medical device manufacturing, battery research, and advanced composites development, Brain Train is the research environment that allows teams to arrive at physical testing with a material that is already expected to pass. For programmes where schedule and cost are constrained — which is every programme — that expectation is not a luxury. It is the difference between a product that ships and one that does not.

Explore Features

Core Capabilities

Why Researchers Choose It

Core Technology

Molecular Lattice Simulation

Brain Train's simulation engine applies hexagonal lattice geometry at the molecular scale — predicting how composite materials will respond to stress, temperature extremes, and cyclic loading before any physical material is produced. Simulations scale from single unit-cell analysis to full structural assembly performance within the same platform.

Fidelity

Multi-Physics Prediction

Stress, thermal response, electromagnetic behaviour, chemical resistance, and fatigue life are modelled simultaneously in a unified simulation environment. There is no need to export results between specialised tools and reconcile outputs manually — Brain Train produces a single, coherent prediction across all relevant physics domains in a single run.

Scale

Up to 100 Million Atoms Per Run

Simulation fidelity scales from individual molecular bonds to full structural assemblies containing up to 100 million atoms per run. Distributed compute support across HPC clusters, cloud GPU infrastructure, and high-specification desktop workstations means the platform scales with your available compute — not the other way around.

Materials

Universal Material Compatibility

Compatible with composites, polymers, metals, ceramics, bio-inspired structures, and hybrid material systems. The hexagonal lattice model is not constrained to a single material class — it is a geometric framework applicable to any material whose properties are influenced by internal structure, which is to say, every material that matters.

Integration

Direct Toolchain Integration

Native integration with MATLAB, Python SDK, ANSYS, Abaqus, and COMSOL means simulation outputs feed directly into downstream engineering and analysis tools without manual data translation. Results flow into your existing workflow automatically — Brain Train augments your toolchain rather than replacing it.

Research Output

Publication-Ready Data Export

Simulation results are exported in formats accepted by all major materials science journals and patent filing systems. Over 40 research institutions and industrial R&D departments have published peer-reviewed findings using Brain Train as their primary simulation environment. The platform's outputs are academically defensible and industrially accepted.

Technical Details

Platform Specifications

Simulation EngineMolecular-level hexagonal lattice modelling, multi-scale
Supported MaterialsComposites, polymers, metals, ceramics, bio-inspired structures
IntegrationsMATLAB, Python SDK, ANSYS, Abaqus, COMSOL
Simulation ScaleUp to 100M atoms per simulation run
DeploymentHPC cluster, cloud GPU (AWS/GCP), desktop workstation

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In Hex,
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