Shape optimization
Gradient-based and adjoint optimization of wings, airfoils, hulls and appendages — minimizing drag or resistance under real geometric and structural constraints.
Modeling · Simulation · Optimization
Physics-driven design for shapes that fly and dive.
PhysLabs builds simulation and optimization software for fluid-dynamic design — aircraft wings with more lift and less drag, and submarine hulls with lower resistance and quieter flow.
CL—
Γ / U∞c—
Live Joukowski potential-flow solution, Kutta condition enforced.
Capabilities
From governing equations to optimized geometry.
We combine numerical methods, optimization theory and software engineering to turn design questions into answers you can build.
High-fidelity simulation
CFD in air and water, from panel methods to RANS and scale-resolving simulations — including cavitation, free-surface effects and fluid–structure interaction.
Surrogate & reduced-order models
Physics-informed machine learning and reduced-order models that answer in milliseconds what a full simulation answers in hours — with quantified uncertainty.
Custom engineering software
Solvers, design pipelines and tools built around your workflow — scalable on HPC and cloud, tested, documented and handed over with your team.
Approach
A closed loop between physics and design.
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01
Model
Define the physics, the design variables and what “better” means: objectives, constraints and operating conditions.
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02
Simulate
Choose the right fidelity for each question and verify it — mesh studies, solver checks and comparison with reference data.
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03
Optimize
Search the design space efficiently with sensitivities, surrogates and multi-objective methods to expose the real trade-offs.
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04
Validate
Check optimized designs off-design and against higher-fidelity analysis or test data before they reach production.
Typical objectives
minCD at cruisemaxL/DmaxCL,maxminstructural masss.t.thickness, volume & moment limitsminhull resistancedelaycavitation inceptionrobustacross Mach & Re
In development · Built on Claude
An AI engineering agent for fluid-dynamic design.
State a goal in plain language. The agent sets up the study — geometry parametrization, constraints and simulation fidelity — runs our CFD and optimization tools, checks convergence, and explains the trade-offs it found.
The physics solvers do the computing. The agent handles the setup, orchestration and interpretation that today takes experts days.
Design brief
“Cut cruise drag 5% without losing CL,max or wing volume.”
- Parametrize 24 FFD control points, twist & thickness
- Constrain CL,max ≥ baseline, volume ≥ baseline
- Simulate RANS at cruise + 2 off-design points
- Optimize adjoint gradients, multi-point
- Verify mesh independence, convergence, trade-off report
Industries
Where better shapes matter.
Aviation & eVTOL
Wing and high-lift design, drag reduction, and rotor–wing interaction for fuel, range and efficient hover.
UAVs & defense
Endurance-driven wing design, control surfaces and rapid design-space exploration.
Naval & subsea
Submarine hulls, sails, fins and propulsors — lower resistance, better maneuvering and quieter flow.
Wind energy & motorsport
Blade profiles, downforce and cooling — the same methods, different flows.
About
Engineering grounded in first principles.
PhysLabs is a modeling, simulation and optimization company. We believe the best designs come from understanding the physics deeply and letting rigorous optimization do the searching.
We work as an extension of engineering teams — from a focused airfoil or hull study to building the simulation and optimization software your designers use every day.
Have a shape that could perform better?
Tell us about your design problem. We'll reply with how we'd approach it.
murad.a.yaghi@physlabs.org