NEURAL SURROGATES MAXWELL FIELD SOLVER

AI-Driven Physics & Surrogate Modeling

Simulating transient magnetic flux, eddy currents, electric motor torque ripple, high-frequency RF radiation, and EMI/EMC regulatory shielding margins.

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ELECTROMAGNETIC PRECISION

Solving Insoluble Maxwell Field Problems

In modern electric powertrains and high-speed digital electronics, parasitic inductances, core saturation, and unintended radio-frequency emissions cause costly EMC compliance test failures and motor acoustic whining.

We apply full 3D Maxwell field solvers to model non-linear B-H magnetic saturation curves, core hysteretic losses, skin-depth current crowding, and radiated electromagnetic fields across DC to 60 GHz regimes.

Loss Formulations with PDE Residuals Proper Orthogonal Decomposition (POD) Kriging & Gaussian Process Regressors Real-time Digital Twin Inference

ELECTROMAGNETIC BENCHMARKS

Inference Acceleration 1000x – 10,000x Speedup vs. Full 3D CFD/FEA
Residual L2 Error < 1.5% Across Validated Parameter Space
Model Footprint Embedded Edge Execution (< 50MB Binary)
Training Efficiency Sparse Sampling via Latin Hypercube DOE
APPLICATIONS

Industry Scenarios

  • → Sub-second aerodynamic prediction for generative styling studios
  • → Real-time industrial boiler thermal monitoring via digital twins
  • → Predictive maintenance remaining useful life (RUL) estimation
  • → Battery degradation prognosis under stochastic duty cycles
DELIVERABLES

What You Receive

  • ✓ Exportable ONNX / FMU functional mock-up units for 1D systems
  • ✓ Trained neural surrogate weights with automated error bounds
  • ✓ Interactive web-based engineering exploration dashboards
  • ✓ Full training corpus and Latin hypercube sampling manifests

Optimize Your Motor or Electromagnetic Hardware

Accelerate your electrical machine performance and ensure EMI/EMC compliance with our computational electromagnetics group in Hyderabad.

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