Modeling & simulation
Physics-based models and trade studies for engineered systems: from actuators and satcom links to data centers and pitch aerodynamics.
sysml2kit 0.4.0: multi-fidelity verification on a compute budget
sysml2kit 0.4.0 adds fidelity ladders to SysML v2 verification: an escalate policy spends a wall-clock budget on the requirements with the thinnest margins. A tour of the SDK, with real runs.
Track accuracy is an aperture decision
I set out to add Kalman filtering to a radar systems package. The useful thing to add was not a filter. Along the way three published sources disagreed about the same covariance, and the way to settle it was to run the recursion.
Power-aperture, and the heat it hides
Search radar performance depends on average power times aperture. How tightly you may package that power depends on heat flux per unit cell, which rises as frequency squared. My array model computed neither until last week.
pitchphys, a baseball pitch physics simulator
A browser simulator for the physics of a thrown baseball: gravity, drag, and the Magnus effect. Built to understand why spin moves a pitch, and where the model stops.
Modeling Roasted Coffee as a Perishable Asset
Roasted coffee has a hump-shaped quality curve: it improves while resting, peaks, then stales. That makes it a clean toy problem for perishable-inventory pricing, storage economics, and a small client-side model.
opensatcom: an open toolkit for satcom link budgets and trade studies
An open-source Python toolkit for satellite communications: snapshot link budgets, ITU-R propagation, a DVB-S2 modem, multibeam payloads, and Pareto trade studies.
An open MDO toolkit for axial-flux robot actuators
axfluxmdo: fast analytical models, 2.5D annular analysis, Pareto trade studies, and FEA hooks for early-stage axial-flux motor design, aimed at robot actuators.
Sizing AI training by its bottleneck resource
A small open model for AI hardware: find whether a workload is compute-, memory-, or network-bound, then price the resource that actually binds it.
Orbital data centers, by the numbers
An open, physics-based model of space-based AI data centers: why inter-satellite links are easy, the downlink is hard, and orbit runs about 19x Earth's cost today.