Statistical & nonlinear physics
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- Thermodynamic optimization of thermal landscapes and energy barriers in a Brownian heat engine
- Multivariate hyperdensity functional theory for inhomogeneous equilibrium fluids: From first principles to simulation-based machine learning
- Memory-driven Topological Defects and Unconventional Long-Range Order
- Universal fingerprint of topological defect cores
- Generalised Random Parking for Trapeziums on a Strip
- Impedance in Periodically Driven Stochastic Systems
- Effect of reactive targets on diffusive transport with intermittent restarts
- Memory as an Energy Landscape---Hopfield
- Renormalization group and long-range conditional mutual information in hierarchical models
- Phase-delays shape multistability and basin sizes in Kuramoto networks: analytical estimates from network structure
- Statistical Language Competition Model with Dynamic Edge Weighting on a Random Network
- Fuzzy local reduced order models (fl-ROMs)
- Athermality of generalized Gibbs ensembles
- An integrable semi-discretization of the two-component Hunter-Saxton equation
- Integrability and transformations in the bilinear method: An introduction
- The Universal Role of Fragility on the Yielding Transition of Active Glass under Oscillatory Shear
- Taylor dispersion in a soft tube
- Numerical analysis of complete period-adding structures in a novel chaotic system for message encoding
- A summation rule for the four-coupling beta function of four-dimensional nonplanar Euclidean scalar φ4 theory under factorial coefficient bounds, and a domain on which the summed beta function is well defined
- The giant component of complex hypergraphs: automated generating function calculations
- When Edge Importance Disagrees: Resistance-Ranked versus Betweenness Pruning on Urban Road Networks
- Transferable reconstruction of nonlinear network dynamics from sentinel nodes
- Movable seams in root-of-unity XXZ chains: Relative flux classes and antiunitary spectral pairing
- Heterogeneity-enhanced stochastic resonance improves liquid-state computing in delayed spiking neural networks
- Noise-Induced Predictability Redistribution Across Forecast Horizons of Extreme Events in Chaotic Dynamics