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Step 01

Define the Physics

Identify the governing physics. Define the geometry, material properties, boundary conditions, and loading. The system dictates the mathematics.

Step 02

Build the Model

Formulate the equations. Discretize using finite element, finite difference, spectral, or Monte Carlo methods. Validate against known solutions.

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Step 03

Simulate and Analyze

Run the simulations. Vary the parameters. Identify the sensitivities. Deliver understanding, not just numbers: technical reports with validated recommendations and quantified uncertainty.

Our computational methods.

Finite Element Analysis

Structural, thermal, and coupled-field simulations for complex geometries under realistic loading.

Molecular Dynamics

Atomistic simulations: diffusion, phase transitions, defect mechanics, surface interactions.

Computational Fluid Dynamics

Flow and heat transfer modeling for thermal management, ventilation, and process optimization.

Statistical Mechanics

Thermodynamic modeling of phase equilibria, reaction kinetics, and degradation from statistical first principles.

Time-Series Analysis

Fourier and wavelet transforms, spectral analysis, and signal processing for sensor and process data.

Numerical Optimization

Constrained optimization, sensitivity analysis, and parameter estimation for system design.

Density Functional Theory

First-principles electronic structure calculations for predicting material properties, defect energetics, band structure, and thermodynamic stability from quantum mechanics.

Boltzmann Transport

Charge carrier and phonon transport modeling for thermoelectric figure of merit optimization, electrical conductivity, and thermal conductivity prediction in crystalline solids.

Bring us your
hardest problem.

If you are facing a materials science or energy systems problem, we would like to hear about it.

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