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THE ISOMORPHISM GALLERY

one skeleton, two worlds — the same math wearing two different sciences

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← back to the sharan

Twenty scout personas wandered the lab's consilience graph, pulled papers that caught their nature, and reported pairs of ideas that share a hidden skeleton. Each exhibit below is one proposed isomorphism made playable: a single dynamical core drives both panels — the left wears one paper's parameters, the right wears the other's. Move the shared sliders and watch the two worlds breathe the same math.

kuramoto7 runs

Resonance Chain

Polyatomic Time Crystals↔Nonlinear Synchronization in Hierarchical Networks

Resonance networks with phase locking and geometric constraints.

kuramoto5 runs

Kuramoto in Immune Coherence

Quantum Cognition↔Immune System Resonance

Coupled phase oscillators with synchronization and resonance dynamics

bridge3 runs

Dynamic Energy

Energy expenditure model with physiological hysteresis↔Diffusion bridge with randomized initial/terminal times

Nonlinear, state-dependent dynamics with time delays and environmental influence

gray-scott3 runs

Gray-Scott in Immune Pattern Formation

Fractal Neural Networks↔MAIT Cell Distribution

Reaction-diffusion dynamics underlying pattern formation

bridge2 runs

Bridge in Immune and Cultural Pathways

MAIT Cell-Microbiome Interaction↔Viral Infection Pathways in Cultural Fields

Pinned diffusion paths with stochastic control of signal propagation

bridge2 runs

dynamic_hysteresis

A dynamic switching mathematical model for estimating energy expenditure based on physiological hysteresis↔Diffusion bridge with randomized initial and terminal times and its application to fish migration

Nonlinear time-dependent systems with adaptive parameters

cascade2 runs

Immune-Resonance Cascade

MAIT Cell Exhaustion in Tumor Microenvironments↔Social System Degradation Under Stress

Threshold-based suppression in network interactions

bridge2 runs

sync_bridge

Geometry-orchestrated objective reduction from a multiscale resonance chain↔Diffusion bridge with randomized initial and terminal times

Dynamic systems governed by time-dependent coupling and stochastic influence

bridge1 run

Bridge-Environmental

Diffusion bridge with randomized initial and terminal times and its application to fish migration↔A nested weighted framework for Podlubny-type fractional PID controllers

Pinned diffusion paths influenced by environmental or system-specific detuning

cascade1 run

Cascade in Immune and Network Systems

Immune Cell Recruitment in Infection↔Information Spread in Social Networks

Threshold-based contagion on a network with percolation effects

gray-scott1 run

Gray-Scott in Immune and Cultural Systems

Pattern Formation in Tumor Microenvironment↔Cultural Pattern Emergence in Information Viruses

Reaction-diffusion dynamics with spot and labyrinth formation

kuramoto1 run

Kuramoto in Immune Systems

MAIT Cell Synchronization in Immune Response↔Coupled Oscillators in Neural Networks

Coupled phase oscillators with resonance chains and synchronization dynamics

kuramoto1 run

Kuramoto-Resonance

Geometry-orchestrated objective reduction from a multiscale resonance chain↔A dynamic switching mathematical model for estimating energy expenditure

Coupled phase oscillators that synchronize through non-linear interactions and environmental modulation

the five cores — kuramoto: coupled phase oscillators (sync, resonance, locking) · gray-scott: reaction-diffusion (spots and labyrinths) · cascade: threshold contagion on a network · bridge: pinned diffusion paths (stochastic control) · spiral: excitable-media cellular automaton. Proposals are unreviewed model output — the gallery keeps them because the making is the point.