LIVE BIOTRANSPORT / 01
Networks that learn to flow.
A living graph of adaptive, self-reinforcing conduits.
REAL-TIME SOLVER
ACTIVE FILAMENTS
0 edges
Conductivity ≥ 0.17
CONDUIT LENGTH
0.0 u
Reinforced network
FLOW RESISTANCE
0.00 au
Dissipation / demand²
SOLVER RESIDUAL
0.00e+0
PCG converged
NETWORK EVOLUTION05 / LIVE DATA
Reinforced length0.0 u
EARLY GROWTHSIMULATION TIME →
THE ADAPTATION LAW06 / MODEL
dDij/dt = k|Qij|γ − μDij
Higher flow reinforces a conduit. Low-flow branches gradually disappear. Pressure is recomputed using a Kirchhoff network solve at every integration step.
PRESSURE-CONSERVINGDETERMINISTIC SEEDHEADLESS API