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Using Model Intelligence HyperTools

Model Intelligence HyperTools provide specialized interfaces for advanced modeling capabilities in Sim4Life. You can create different types of Model Intelligence HyperTools from the Dashboard to perform specific analysis tasks.

  • Response Surface Modeling (RSM) HyperTool: surrogate models enable interactive visualizations of the relationship between input parameters and simulation outcomes, enabling users to rapidly gain major insights into their models.

  • Uncertainty Quantification (UQ) HyperTool: Enables statistical analysis of how uncertainties in input parameters propagate to simulation results, helping assess the robustness of your models.

Creating a New HyperTool

To create a new HyperTool, navigate to the Dashboard, click the + New button on the top left, and navigate to the HyperTools section. There, choose the HyperTool of interest.

Creating a new Response Surface Modeling HyperTool Creating a new Response Surface Modeling HyperTool from the Dashboard

Creating a new Uncertainty Quantification HyperTool Creating a new Uncertainty Quantification HyperTool from the Dashboard

HyperTool Types

Response Surface Modeling (RSM) HyperTool

The RSM HyperTool creates surrogate models that approximate your simulation's behavior using mathematical functions. These lightweight models enable:

  • Interactive Parameter Exploration: Modify parameters and see results instantly
  • Sensitivity Analysis: Understand which parameters most influence your outputs
  • Design Space Visualization: Explore multi-dimensional parameter relationships
  • Performance Optimization: Find optimal parameter configurations efficiently

Use Cases: - Parameter sweep analysis with complex, computationally expensive models - Design optimization where many parameter combinations need evaluation - Understanding parameter interactions and their effects on outcomes - Real-time exploration of design spaces during decision-making

Uncertainty Quantification (UQ) HyperTool

The UQ HyperTool quantifies how uncertainties in input parameters affect simulation outputs. It provides:

  • Uncertainty Propagation: See how input variability affects output distributions
  • Confidence Intervals: Understand the range of possible outcomes
  • Risk Assessment: Evaluate robustness and reliability of designs
  • Statistical Analysis: Comprehensive statistics on output uncertainties

Use Cases: - Bioelectronic device design where biological parameter variability is significant - Safety assessments requiring confidence bounds on critical metrics - Robust design optimization accounting for manufacturing tolerances - Regulatory submissions requiring uncertainty analysis

Getting Started

Once you create a HyperTool, you'll be guided through the setup process:

  1. Function Selection: Choose from available simulation functions
  2. Parameter Configuration: Define ranges (RSM) or distributions (UQ)
  3. Analysis Setup: Configure sampling and modeling parameters
  4. Results Exploration: Use interactive interfaces to gain insights

Next Steps