# AcaysiaDRT

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Canonical: https://acaysia.com/engines/acaysia-drt

**Spatial Simulation Engine**

3D spatial simulation engine for physical process unit operations. Extends AcaysiaRT with Lattice Boltzmann transport for full 3D spatial modeling of any unit-op class in the Acaysia typed process ontology. Proven first on chemical reactors. Enables digital twin capabilities for industrial process design, optimization, and predictive maintenance.

## Capabilities

### Scale: nL - 100s L

Microfluidics to industrial scale reactor simulation in a single framework.

### LBM Stencil: D3Q19

Full 3D velocity space with BGK collision operator for accurate transport physics.

### Accuracy: 2nd Order Spatial

Second-order spatial accuracy with BGK collision for reliable simulation results.

### Coupling: Strang Splitting

Operator splitting for accurate transport-reaction coupling in complex systems.

## Technical Specifications

### Transport Physics

D3Q19 Lattice Boltzmann with BGK collision. Bounce-back and interpolated boundary conditions. Variable viscosity and diffusivity fields. Thermal LBM for temperature-dependent reactions.

### Industrial Reactor Types

Continuous stirred-tank reactors (CSTR). Plug flow reactors (PFR). Batch and semi-batch reactors. Microfluidic and lab-on-chip devices.

### GPU Implementation

Structure-of-Arrays memory layout. Multi-GPU domain decomposition. Overlapped communication and compute. Adaptive mesh refinement (AMR) support.

### Visualization & Export

ParaView/VTK compatible output. napari plugin for live visualization. USD export for 3D platforms. Time-series animation export.

## Digital Twin Use Cases

### Virtual Commissioning

Test reactor configurations and control strategies before physical deployment. Reduce commissioning time and identify design issues early.

### Process Optimization

Explore operating conditions across the full parameter space. Identify optimal setpoints for yield, selectivity, and energy efficiency.

### Predictive Maintenance

Model fouling, catalyst deactivation, and equipment degradation. Predict maintenance windows and optimize turnaround scheduling.

### 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

### Cloud Deployment

Kubernetes-native orchestration across AWS, Azure, and GCP. Auto-scaling GPU clusters with S3/Blob storage integration and REST API for job submission.

### Visualization Ecosystem

Real-time streaming to ParaView and napari visualization clients. OpenUSD scene description export. VR/AR-ready spatial data formats.

## 3D Simulation Made Simple

Full spatial reactor simulation in just a few lines.

**Installation (pip):**

```bash
# Install AcaysiaDRT
pip install acaysia-drt

# Requires AcaysiaRT as dependency
# CUDA support included automatically
```

**Quick Start (Python):**

```python
import torch
from acaysia_drt import SpatialCSTR3D, DRTParams

# Create 32x32x16 reactor grid
params = DRTParams(
    Nx=32, Ny=32, Nz=16,
    V_cell_L=1.0, dx_m=0.1
)

# Initialize and simulate
reactor = SpatialCSTR3D(params, device="cuda")
states, stats = reactor.step_soa(
    states, controls, velocity, dt=0.001
)
```

## Build Your Digital Twin

Contact us to discuss your digital twin requirements and how AcaysiaDRT fits your process simulation needs.

[Contact Us](https://acaysia.com/contact.md)