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 structureFokker-Planck / Kolmogorov Forward Equation
6 paperscomputer sciencemathematics
\partial_t p = -\partial_x[\mu(x) p] + \tfrac{1}{2}\partial_{xx}[\sigma^2(x) p]- On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularizationcs.LGdiffusion sampling dynamics with score-based drift
- On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularizationcs.LGdensity evolution derived from consistency-type model dynamics
- Sequence of pseudoequilibria describes the long-time behavior of the nonlinear noisy leaky integrate-and-fire model with large delaymath.APleaky integrate-and-fire neuron with synaptic delay in drift term and reset boundary condition
- Sharp spectral gap of adaptive Langevin dynamicsmath.APFokker-Planck equation for degenerate differential operator derived from adaptive Langevin dynamics
- Sharp spectral gap of adaptive Langevin dynamicsmath.APadaptive overdamped Langevin dynamics with extra feedback coordinate affecting noise structure
- Sequence of pseudoequilibria describes the long-time behavior of the nonlinear noisy leaky integrate-and-fire model with large delaymath.APprobability density evolution of neural membrane voltage with reset-at-threshold boundary condition
Reaction-Diffusion (Turing Pattern) System
5 papersmathematicsphysics
\partial_t u = D_u\nabla^2 u + f(u,v),\quad \partial_t v = D_v\nabla^2 v + g(u,v)
- Traveling Waves of Modified Leslie-Gower Predator-prey Systemsmath.APtraveling wave solutions in modified Leslie-Gower reaction-diffusion predator-prey with heterogeneous functional response
- Stable developmental patterns of gene expression without morphogen gradientsphysics.bio-phspatial stochastic reaction-diffusion for gene expression with bistable cross-repression motif
- Rotating spirals for three-component competition systemsmath.APthree-species competition system with rotating spiral solutions instead of stationary patterns
- A sufficient condition on successful invasion by the predatormath.APtraveling wave persistence in reaction-diffusion predator-prey with heterogeneous growth and functional response
- Persistence of solutions in a nonlocal predator-prey system with a shifting habitatmath.APnonlocal dispersal predator-prey with shifting habitat (traveling wave front in moving frame)
Gradient Descent
3 paperscomputer scienceelectrical eng
x_{t+1}=x_t-\eta\,\nabla f(x_t)- Doubly Robust Self-Trainingcs.LGreweighted loss balancing labeled and pseudo-labeled data
- Policy Optimization for PDE Control with a Warm Starteess.SYpolicy gradient iteration over finite-dimensional control parameters with model-based warm start
- Explicit Feature Interaction-aware Uplift Network for Online Marketingcs.LGgradient-based optimization of multi-component loss balancing treatment effect estimation and intervention constraint
Master Equation
2 paperscondensed matterbiology
\dot{P}_n = \sum_{m}\big(W_{n\leftarrow m}P_m - W_{m\leftarrow n}P_n\big)- Exact steady states in the asymmetric simple exclusion process beyond one dimensioncond-mat.stat-mechmulti-dimensional lattice with factorizable steady states
- Linear and non-linear integrate-and-fire neurons driven by synaptic shot noise with reversal potentialsq-bio.NCpopulation dynamics of stochastic neurons with synaptic shot noise and reversal potentials
Maximum Entropy / Free Energy Minimization
2 paperscomputer 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)}- Transfer Learning for Underrepresented Music Generationcs.LGtransfer learning adaptation of VAE for out-of-distribution music generation
- Geometry-free renormalization of directed networks: scale-invariance and reciprocityphysics.soc-phnetwork probability distribution with effective Hamiltonian encoding adjacency structure
Nash Equilibrium
2 paperscomputer sciencenonlinear
u_i(s_i^*, s_{-i}^*) \ge u_i(s_i, s_{-i}^*)\ \forall s_i, \forall i- The Impact of Meta-Strategy on Attendance Dynamics in the El Farol Bar Problemnlin.AOagents selecting predictive strategies to minimize error; fixed points via strategy fitness-based selection
- Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learningcs.SIevolutionary game-theoretic dynamics evolving dominant strategies via genetic algorithm on network with heterogeneous node positions
SIR Compartmental Epidemic Model
2 papersphysicsbiology
\dot{S} = -\beta S I,\quad \dot{I} = \beta S I - \gamma I,\quad \dot{R} = \gamma I- Epidemic spreading in group-structured populationsphysics.soc-phepidemic spread on group-structured populations with inter-group and intra-group contact rates
- Counting the uncounted : estimating the unaccounted COVID-19 infections in Indiaq-bio.PEextended with undetected infectious compartment and time-varying transmission rates
Within-field structures
one field so farBinary Spin Energy (Ising / Hopfield / Boltzmann machine)
2 paperscondensed 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)}- Kramers-Wannier Duality and Random Bond Ising Modelcond-mat.stat-mechrandom bond weights on planar graphs with Kramers-Wannier duality
- Bethe $M$-layer construction on the Ising modelcond-mat.stat-mechferromagnetic Ising model expanded via renormalization group on Bethe lattice, recovered as continuum quartic field theory at one-loop order
Poisson / Laplace Equation
2 papersmathematics
\nabla^2 \phi = -\rho/\epsilon_0\quad(\nabla^2\phi=0\ \text{when}\ \rho=0)- The sharp estimate of nodal sets for Dirichlet Laplace eigenfunctions in polytopesmath.APeigenvalue problem for the Dirichlet Laplacian in polytopes with nodal set analysis
- Sign-changing solutions to the slightly supercritical Lane-Emden system with Neumann boundary conditionsmath.APcoupled Lane-Emden system of two elliptic Poisson equations with nonlinear power-law coupling
Bellman Optimality Equation
1 papercomputer science
V(s)=\max_a \Big[ r(s,a)+\gamma\sum_{s'}P(s'\mid s,a)V(s') \Big]- Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scalecs.LGQ-learning with subsampling of local agents; value function convergence with Bellman noise
Boltzmann Transport Equation
1 papermathematics
\partial_t f + \mathbf{v}\cdot\nabla_x f + \mathbf{F}\cdot\nabla_p f = \left(\frac{\partial f}{\partial t}\right)_{\text{coll}}- Existence and stability of weak solutions of the Vlasov--Poisson system in localized Yudovich spacesmath.APphase-space kinetic transport of charged particles with long-range mean-field coupling (Vlasov rather than collisional)
Gross-Pitaevskii / Nonlinear Schrodinger Equation
1 papermathematics
i\hbar\,\partial_t\psi = -\frac{\hbar^2}{2m}\nabla^2\psi + V\psi + g|\psi|^2\psi- Global solutions for 1D cubic dispersive equations, Part III: the quasilinear Schrödinger flowmath.APquasilinear (cubic nonlinearity in dispersion coefficient) defocusing variant with global scattering for small data
Korteweg-de Vries Equation
1 papermathematics
\partial_t u + 6u\,\partial_x u + \partial_{xxx} u = 0- Linear asymptotic stability of small-amplitude periodic waves of the generalized Korteweg--de Vries equationsmath.APgeneralized nonlinearity f(u) and spectral stability analysis of small-amplitude periodic traveling waves
Kuramoto Phase Oscillators
1 paperbiology
\dot{\theta}_i = \omega_i + \frac{K}{N}\sum_{j=1}^{N}\sin(\theta_j - \theta_i)- Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decompositionq-bio.NCphase synchronization implemented via spiking neural networks with leaky integration rather than continuous oscillators
Markov Chain
1 paperbiology
P(X_{t+1}=j\mid X_t=i)=P_{ij},\quad \pi_{t+1}=\pi_t P- Effect of the degree of an initial mutant in Moran processes in structured populationsq-bio.PEbirth-death Markov chain on network-structured populations with node degree dependence
Navier-Stokes Equations
1 papermathematics
\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- Dynamics of helical vortex filaments in non viscous incompressible flowsmath.APincompressible Euler/inviscid limit with helical symmetry reduction to 2D vorticity and Biot-Savart kernel
Poisson Process
1 papercondensed matter
P(N(t)=n)=\frac{(\lambda t)^n e^{-\lambda t}}{n!}- Statistics of the number of renewals, occupation times and correlation in ordinary, equilibrium and aging alternating renewal processescond-mat.stat-mechalternating two-state renewal process with heavy-tailed inter-event distributions and aging behavior
Replicator Dynamics
1 paperphysics
\dot{x}_i = x_i\big(f_i(x) - \bar{f}(x)\big),\quad \bar{f}=\sum_j x_j f_j(x)- Enhancing social cohesion with cooperative bots in societies of greedy, mobile individualsphysics.soc-phdiscrete spatial population with binary strategies (cooperate/defect) on a lattice with mobile agents
Wave Equation
1 papermathematics
\partial_{tt} u = c^2 \nabla^2 u- Measure propagation along a $\mathscr{C}^0$-vector field and wave controllability on a rough compact manifoldmath.APon rough (low regularity Lipschitz) manifolds with observability and microlocal defect measure propagation