Move forward with
Electromagnetic Simulation

Verify or optimize your electromagnetic designs with precision and confidence.

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A Streamlined CAD-to-Simulation Service

  • Expertise On Demand

    Gain instant access to a team with deep electromagnetic expertise without the cost and commitment of hiring full-time staff. We bring specialized skills to tackle complex projects, allowing your in-house team to focus on their core tasks.

  • Fast Turnaround, No Learning Curve

    Get your simulations done in days or weeks, not months. Instead of spending time training staff on new software or complex simulation features, we handle everything—delivering high-accuracy results quickly so your projects stay on schedule.

  • Predictable, Project-Based Pricing

    No hidden costs or hourly billing surprises—our project-based pricing ensures clear, upfront costs for your simulations. You get expert-level results with a transparent budget, allowing for better planning and cost control.

Electromagnetic Simulation Consulting

From CAD to Simulation: How It Works

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Step 1: Submit Your CAD Files

Share your existing designs in any common CAD format and we'll take it from there. If the geometry needs to be fixed or defeatured for simulation, we take care of that too.

Step 2: Custom Simulation Setup

We translate your CAD files into high-quality simulation-ready models, select the most appropriate solvers, and configure simulation parameters based on your project's unique requirements. This includes meshing, material definitions, boundary conditions, and more.

Step 3: Receive Results and Insights

Get a detailed simulation report with visualizations, performance metrics, and actionable insights. We'll walk you through the results and discuss next steps, whether it’s optimization, design iterations, or final validation.

Steps in Electromagnetic (EM) Simulation

1. Analyze the Physics and Select the Simulation Strategy

  • Define the scope: Is it a radiating, scattering, or guiding problem?
  • Consider physical approximations: Quasi-static, full-wave, or high-frequency asymptotics.
  • Define Material Properties.
  • Specify Excitations and Boundary Conditions.
  • Pick a numerical method and simulation domain

2. Set Up the Model and Solve the Governing Equations

  • Integrate with external CAD tools or create a parameterized geometry.
  • Generate a computational mesh: Adaptive refinement, structured/unstructured meshing.
  • Use iterative solvers for large-scale problems and direct solvers for small matrices.
  • Consider high-performance computing (HPC) and GPU acceleration for speed-up.

3. Post-Process, Validate, and Interpret Results

  • Visualize electric or magnetic fields, Poynting vectors, etc.
  • Compare with analytical solutions or benchmark cases.
  • Assess numerical errors: Mesh refinement, boundary conditions, and solver accuracy.
  • Cross-validate results using different simulation techniques or software.
  • Extract key performance metrics: Impedance, S-parameters, radiation patterns, etc.
  • Run parametric sweeps and sensitivity analyses to understand design dependencies.
  • Perform optimization studies to refine design parameters and improve performance.
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Our Research:

HPC Cloud

Accelerated Numerics and GPU Computing

Leveraging the cloud and powerful GPU hardware, combined with advanced numerical acceleration techniques, enable unprecedent accuracy and realism, even for the most challenging configurations.

Direct CAD to CAE

High-order adaptive meshing is the key enabling technique to create transparent engineering simulations direcly from CAD files - removing the need to deal with meshes and convergence analysis for good.

Optimal Geometric Design

Fully differentiable solvers based on modern programming languages enable automatic differentiation, which can be combined with the adjoint method for obtaining gradients with respect to the geometry - which are integrated into optimization pipeline to solve optimal design or inverse problems.

About Epsilon Forge

We're a young spin-off company from the University of Buenos Aires.

Our focus is on electromagnetic simulation research, software development, consulting, support, and training.

At the heart of what we do is a commitment to making engineering innovation more accessible through cost-effective solutions.

We're excited about what's ahead and look forward to collaborating with you!

Cheers,

Martín D. Maas, PhD

Professor of Applied Mathematics

Founder of EpsilonForge

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Simulation Services You Can Rely On

Hover Logo

Hover | Automation and Machinery

Project Overview

  • Challenge: Verify the design of a magnetic grid trap according to food safety standards.
  • Solution: BEM-based simulations and detailed post-processing and documentation.
  • Result: The study confirmed the separator's compliance while highlighting optimization possibilities.
★★★★★

"I hired Epsilon Forge for a finite element analysis of a magnetic trap, and the results were outstanding. Their team was professional, communicative, and delivered precise insights that exceeded expectations. The analysis helped optimize the design and move forward with confidence. Highly recommend their reliable and top-quality services!"

- Daniel Manjon, Manager

Google Review

Confidential | Medical Device Startup

Project Overview

  • Challenge: Help fine-tune patent-pending design and compare performance with a competitor's design.
  • Solution: BEM-based simulation of electric fields.
  • Result: Gained insight on fundamentals and found unexpected results.
Tenaris Logo

Tenaris | Steel Industry

Project Overview

  • Challenge: Product mixing issues arising in spite of electromagnetic inspection equipment present.
  • Solution: Implemented Nonlinear FEM-hysteresis model.
  • Result: Improved operational practices to improve steel type discrimination.
CONAE Logo

CONAE | Argentina's Space Agency

Project Overview

  • Challenge: Account for cross-polarized backscattering of arable land.
  • Solution: BEM-based and analytic simulations of rough surfaces.
  • Result: Contributed to develop advanced retrieval algorithms for soil moisture, help characterized range of validity of analytical methods.

Do you want to move forward with EM simulations? Let's talk

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    Martin D. Maas, PhD

    R&D Consultant and Founder

    • Professor of Applied Mathematics
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