AI-Powered V&V Simulation Engineering.
Join the WHY in AI.
Deep Why is an Eindhoven-based engineering consultancy, led by Manuel Jimenez Diaz (former PLASIMO-team member), specializing in validation-driven AI and simulation software development for scientific, industrial, and safety-critical applications.
Validation-Driven R&D | AI Workflow Automation | Physics-Informed Modeling | Vendor-Agnostic
Portfolio
Advanced computational models and physics-based simulations.
pyFrost-GM: V&V Campaigns
A Python reimplementation of the LoKI-GM global model, verified and validated in campaigns. Each campaign widens coverage of the code, the physics and the Boltzmann solvers (LoKI-B, MultiBolt) against Dias et al. (2023) and Alves et al. (2026).
Surfatron Model Validation
2D self-consistent model of a surfatron launcher, validated against experimental Thomson scattering data, explaining the role of molecular ions in plasma constriction.
TIA Microwave Plasma Torch EM Modeling
Electromagnetic analysis of the Torche à Injection Axiale (TIA) under various operating configurations (closed, semi-open, open) to study power coupling mechanisms.
Surfaguide Model Validation
2D self-consistent model of a surfaguide launcher sustaining atmospheric pressure argon plasma, investigating the role of wall temperature and molecular-assisted recombination.
Microwave Deposition Resonator
2D self-consistent PLASIMO model of a microwave deposition reactor (PCVD) used for optical fiber fabrication, optimizing argon plasma confinement using metallic chokes.