A client-side numerical laboratory for deterministic physics, multi-body kinematics, and scientific computing.
Ulamora is a computational laboratory focused on the fidelity of simulation outcomes rather than how cinematically a scene renders.
Simulations grounded in real-world physical laws.
Verifiable and traceable computational rigor.
Parameter sweeps and rapid hypothesis testing.
Insightful visual rendering of complex multidimensional data.
Reproducible, deterministic, and auditable outcomes.
Each studio houses domain-specific computational models, deterministic simulation nodes, and experimental toolsets operating on a shared mathematical runtime.
Turing reaction-diffusion PDE, 3D L-system branching, Raup shell pigmentation, and Fibonacci phyllotaxis spirals.
Forward & inverse kinematics, joint dynamics, PID control, trajectory planning, and sensor simulation for articulated systems.
General computation canvas with visual node graphs, Lorenz attractors, quantum circuits, SVD decomposition, and custom experiments.
Einstein spacetime solutions, Gödel rotating universe closed timelike curves, and relativistic physics benchmarks.
Gravity, forces, rigid body dynamics, N-body orbits, energy conservation, collision detection, and torque analysis.
Concentration kinetics, reaction rates, temperature-pressure dependencies, diffusion models, and conservation tracking.
Multi-body particle interactions, attraction-repulsion fields, spatial partitioning, and fluid approximation systems.
Atomic clock Ramsey transitions, relativistic Lorentz dilation, stellar H–R evolution, thermodynamic entropy arrow, and cognitive pacemaker psychophysics.
Every engine feeds the same chain — from physical law to rendered evidence.
Every experiment follows a deterministic lifecycle that ensures scientific rigor and full reproducibility.
Select environment, place entities, set parameters
Check constraints, boundaries, and numerical stability
Run deterministic solver with fixed timestep integration
Collect metrics from engine state, not rendered pixels
Parameter sweeps, hypothesis verdicts, comparison
Same seed + same config = same results, always