Atlas

A map of shared mathematical structure across science. Every paper's core model is classified — one paper at a time — against a library of canonical structures. When papers from different fields land on the same structure, that's a cross-field bridge: the same mathematics under two different names.

Groupings below are produced by structural classification and shown cross-field bridges first. They are candidates, not verified claims — moderators review and can hide groupings that reflect a shared textbook object rather than a meaningful connection.

33papers mapped
19structures
7cross-field bridges

Cross-field bridges

≥2 fields, same structure

Fokker-Planck / Kolmogorov Forward Equation

6 papers
computer sciencemathematics
\partial_t p = -\partial_x[\mu(x) p] + \tfrac{1}{2}\partial_{xx}[\sigma^2(x) p]

Reaction-Diffusion (Turing Pattern) System

5 papers
mathematicsphysics
\partial_t u = D_u\nabla^2 u + f(u,v),\quad \partial_t v = D_v\nabla^2 v + g(u,v)

Gradient Descent

3 papers
computer scienceelectrical eng
x_{t+1}=x_t-\eta\,\nabla f(x_t)

Master Equation

2 papers
condensed matterbiology
\dot{P}_n = \sum_{m}\big(W_{n\leftarrow m}P_m - W_{m\leftarrow n}P_n\big)

Maximum Entropy / Free Energy Minimization

2 papers
computer sciencephysics
\max_p \; H(p) = -\sum_x p(x)\log p(x)\ \text{s.t.}\ \mathbb{E}_p[\phi]=\mu \;\Rightarrow\; p(x)\propto e^{-\lambda\cdot\phi(x)}

Nash Equilibrium

2 papers
computer sciencenonlinear
u_i(s_i^*, s_{-i}^*) \ge u_i(s_i, s_{-i}^*)\ \forall s_i, \forall i

SIR Compartmental Epidemic Model

2 papers
physicsbiology
\dot{S} = -\beta S I,\quad \dot{I} = \beta S I - \gamma I,\quad \dot{R} = \gamma I

Within-field structures

one field so far

Binary Spin Energy (Ising / Hopfield / Boltzmann machine)

2 papers
condensed matter
E(s) = -\tfrac{1}{2}\sum_{i,j} J_{ij} s_i s_j - \sum_i h_i s_i,\quad P(s)\propto e^{-\beta E(s)}

Poisson / Laplace Equation

2 papers
mathematics
\nabla^2 \phi = -\rho/\epsilon_0\quad(\nabla^2\phi=0\ \text{when}\ \rho=0)

Bellman Optimality Equation

1 paper
computer science
V(s)=\max_a \Big[ r(s,a)+\gamma\sum_{s'}P(s'\mid s,a)V(s') \Big]

Boltzmann Transport Equation

1 paper
mathematics
\partial_t f + \mathbf{v}\cdot\nabla_x f + \mathbf{F}\cdot\nabla_p f = \left(\frac{\partial f}{\partial t}\right)_{\text{coll}}

Gross-Pitaevskii / Nonlinear Schrodinger Equation

1 paper
mathematics
i\hbar\,\partial_t\psi = -\frac{\hbar^2}{2m}\nabla^2\psi + V\psi + g|\psi|^2\psi

Korteweg-de Vries Equation

1 paper
mathematics
\partial_t u + 6u\,\partial_x u + \partial_{xxx} u = 0

Kuramoto Phase Oscillators

1 paper
biology
\dot{\theta}_i = \omega_i + \frac{K}{N}\sum_{j=1}^{N}\sin(\theta_j - \theta_i)

Markov Chain

1 paper
biology
P(X_{t+1}=j\mid X_t=i)=P_{ij},\quad \pi_{t+1}=\pi_t P

Navier-Stokes Equations

1 paper
mathematics
\rho(\partial_t \mathbf{u} + \mathbf{u}\cdot\nabla\mathbf{u}) = -\nabla p + \mu\nabla^2\mathbf{u} + \mathbf{f},\ \nabla\cdot\mathbf{u}=0

Poisson Process

1 paper
condensed matter
P(N(t)=n)=\frac{(\lambda t)^n e^{-\lambda t}}{n!}

Replicator Dynamics

1 paper
physics
\dot{x}_i = x_i\big(f_i(x) - \bar{f}(x)\big),\quad \bar{f}=\sum_j x_j f_j(x)

Wave Equation

1 paper
mathematics
\partial_{tt} u = c^2 \nabla^2 u