Platform / AcaysiaDRT
Spatial simulation
AcaysiaDRT
3D spatial simulation for process unit operations.
AcaysiaDRT extends AcaysiaRT with lattice-Boltzmann transport for full 3D spatial modeling of any unit-op class in the Acaysia typed process ontology. Built for any process, in any plant.
- Scale
- nL–100s L
- Microfluidics to industrial-scale reactors in a single framework.
- LBM stencil
- D3Q19
- Full 3D velocity space for accurate transport physics.
- Accuracy
- 2nd order
- Second-order spatial accuracy with BGK collision.
- Coupling
- Strang
- Operator splitting for transport–reaction coupling.
Transport
Lattice Boltzmann · D3Q19 · BGK
The vessel as a grid, not a point.
Where a well-mixed model treats a vessel as one point, DRT resolves it as a grid and marches every cell.
Each lattice cell carries nineteen discrete velocities. Every step they collide in place and stream to their neighbors, and Strang operator splitting couples that transport to the reaction in the same cell.
Transport physics
- Stencil
- D3Q19 lattice Boltzmann
- Collision
- BGK operator
- Boundaries
- Bounce-back and interpolated boundary conditions
- Fields
- Variable viscosity and diffusivity fields
- Thermal
- Thermal LBM for temperature-dependent reactions
- Accuracy
- Second-order spatial
- Coupling
- Strang operator splitting, transport–reaction
GPU + output
ParaView · napari · USD
Full 3D fields, on the GPU.
A run hands back the whole volume, cell by cell, in formats your engineers already open.
GPU implementation
- Memory
- Structure-of-Arrays layout
- Scale-out
- Multi-GPU domain decomposition
- Overlap
- Communication overlapped with compute
- Refinement
- Adaptive mesh refinement (AMR) support
Visualization + export
- Analysis
- ParaView / VTK compatible output
- Live view
- napari plugin for live visualization
- 3D platforms
- USD export
- Animation
- Time-series animation export
Scale
CSTR · PFR · Batch · Microfluidic
From nanoliters to hundreds of liters.
Microfluidics to industrial-scale reactor simulation in a single framework.
Industrial reactor types
- Continuous stirred-tank reactors CSTR
- Plug flow reactors PFR
- Batch and semi-batch reactors Batch
- Microfluidic and lab-on-chip devices Microfluidic
Digital twin
Design · Optimization · Maintenance · Integration
Build your digital twin.
Digital twin capabilities for industrial process design, optimization and predictive maintenance.
Full spatial awareness · every cell
Four uses ↓
-
Design
Virtual commissioning
Test reactor configurations and control strategies before physical deployment. Reduce commissioning time and identify design issues early.
-
Optimization
Process optimization
Explore operating conditions across the full parameter space. Identify optimal setpoints for yield, selectivity and energy efficiency.
-
Maintenance
Predictive maintenance
Model fouling, catalyst deactivation and equipment degradation. Predict maintenance windows and optimize turnaround scheduling.
-
Integration
Control system integration
Designed to integrate with the Acaysia control system, enabling predictive control strategies built on full spatial awareness of process dynamics.
Ecosystem integration
AWS · Azure · GCP
Runs on cloud GPUs, opens in your tools.
Jobs run on auto-scaling GPU clusters, and results stream to the viewers your engineers already use.
Cloud deployment
- Orchestration
- Kubernetes-native, across AWS, Azure and GCP
- Compute
- Auto-scaling GPU clusters
- Storage
- S3 / Blob storage integration
- Jobs
- REST API for job submission
Visualization ecosystem
- Streaming
- Real-time streaming to ParaView and napari clients
- Scene
- OpenUSD scene description export
- Spatial
- VR/AR-ready spatial data formats
Next step
Digital-twin requirements
Bring us the process you want to twin.
Talk to us about your digital-twin requirements and how AcaysiaDRT fits your process simulation needs.
Book a discovery call