History-dependent material response
Evaluate anisotropic thermoelasticity, relaxation, and crystal viscoplasticity as loading and material state evolve.
PrimeRadiant Materials · Sovereign physical intelligence · Available now
Understand how microstructure and loading history shape material response. Materials connects constituent behavior, damage, interfaces, and transport to effective properties on Terminus Station—with local execution and results your engineering team can inspect, replay, and reuse.
For computational materials teams, composite and alloy specialists, and simulation platform developers.
Materials engineering · Local execution · Deterministic · Air-gap capable
Results for your engineering decisions
Connect composition, microstructure, loading history, and interface behavior to the response used in engineering analysis. Keep the evolving material state, effective properties, and tangent operators in one reusable scientific record.
Evaluate anisotropic thermoelasticity, relaxation, and crystal viscoplasticity as loading and material state evolve.
Represent damage, fatigue, cohesive separation, contact, and thermal coupling within the declared material models.
Integrate phase, species, and reaction-diffusion updates with the material-state workflow.
Connect laminate and polycrystal microstructure to effective response through homogenization and nonlinear periodic representative volume elements.
Microstructure represented in the engineering benchmark.
Interface calculations included in the same material volume.
Crystal deformation represented in the benchmark.
Numerical agreement with the reference implementation, measured as the maximum residual.
What you can do today
Start with your constituent properties, microstructure, loading history, and boundary conditions. Evolve the material and interface states, calculate the effective response, and retain the history and sensitivities needed for the next engineering analysis.
Evaluate anisotropic thermoelasticity, history-dependent relaxation, crystal viscoplasticity, and supported damage models.
Represent cohesive separation, contact, and thermal coupling within the supported interface models.
Integrate phase, species, and reaction-diffusion state updates.
Connect laminate and polycrystal fields to effective response and tangent operators.
Compose constituent evolution, equilibrium, and homogenization in a nonlinear periodic representative volume element.
Where the product fits
PrimeRadiants connects native scientific models to sovereign operational decisions. Fusion is the first commercial market; the same PRX architecture spans orbital systems, quantum hardware, electromagnetics, materials, and hypersonics.
| Capability | CAE / HPC physics | Learned physics models | Conventional control | PrimeRadiants PRX |
|---|---|---|---|---|
| Scientific basis | Numerical physics solvers | Trained model, often with physics constraints | Control laws and plant models | Native scientific execution |
| Time to action | Workload and solver dependent | Fast inference after training | Real-time control loops | Near-real-time qualified decision transactions |
| Training requirement | No model training required | Model training or fine-tuning | Usually no model training | No training required |
| Required inputs | Geometry, conditions, material models, calibration | Training inputs, validation, operating inputs | Telemetry, setpoints, plant parameters | Authoritative inputs required by the physics transaction |
| Data custody | Local, HPC, cloud, or hybrid | Local, edge, or cloud; model pipeline dependent | Typically on-device or local | Customer-controlled, air-gapped, no-egress capable |
| Design | Engineering analysis and optimization | Prediction and optimization within model coverage | Control-system design and tuning | Integrated scientific design workflows |
| Operations | Simulation and external operational integrations | Inference integrated into operating workflows | Monitoring and regulation of the target system | Integrated physics-to-decision workflows |
| Physical control | Controller integration or co-simulation | Controller integration and assurance | Core function | Bounded, physics-aware, fail-closed control |
| Replay | Solver and saved-state dependent | Model, version, and inputs dependent | Model and control-log dependent | Source-bound independent replay |
| Evidence | Solver outputs and workflow records | Model, dataset, and experiment records | Telemetry and event logs | Native transaction evidence and provenance |
| Deployment | Workstation, cluster, cloud, or HPC | GPU workstation, server, cloud, or edge | Desktop, embedded, or industrial hardware | Terminus Station appliance |
| Across domains | Solver and product-suite dependent | Model training or adaptation by domain | Plant- and application-specific | One reusable PRX architecture across physical domains |
Explore the approaches: CAE / HPCLearned physicsReal-time control
Materials delivers constituent, interface, and RVE calculations as a precompiled local GPU module, with analytical operations and independently replayable results.
Micromechanical material modeling connects manufacturing effects and multiscale simulation to structural part performance.
Integrate supported constitutive and interface calculations, effective response, and derivatives through a native module.
Read Hexagon Digimat documentationComposite analysis spans homogenized properties, laminate response, and delamination modeling.
Compose constituent history, interface behavior, and nonlinear periodic RVE response inside your engineering workflow.
Read COMSOL Composite Materials documentationAn open-source multiphysics crystal-plasticity package with constitutive models, homogenization, and coupled fields.
Use Terminus Station with analytical operations, saved results, and independent replay for integration.
Read DAMASK documentationBuilt for your engineering team
Run Materials on Terminus Station and connect it to your simulation stack through the supplied C/C++ interfaces. The evaluation includes the precompiled module, local self-test, software inventory, and saved results for independent replay. Execution requires no runtime compilation or network activation.
Cryptographic proof pack
Preserve loading history, constituent and interface state, and effective response so the next calculation starts from the same verified material result.
Inside the materials proof pack
Connect constituent behavior, crystal deformation, and interfaces to the response used in the next simulation. Preserve the material inputs, effective response, and analytical operations needed to inspect and continue the work.
A defined microstructure workload for the material calculation.
Interface response within the same benchmark volume.
Crystal-deformation systems in the qualified case.
Agreement with the native reference implementation.
Thirteen plan-corruption tests were exercised. The 256-cell installation and relocation case replayed with zero reference residual; CUDA memory checking recorded zero errors.
Load the packaged module and replay retained material results in a fresh process. Keep constituent state, interface behavior, and effective response connected for continued analysis.
Work with us
Bring a composite laminate or crystalline alloy, its microstructure, loading history, and boundary conditions. Define the effective response your engineering workflow needs.