239 papers
This study demonstrates through numerical simulations of a spatial trust game that inter-role rewards do not linearly promote trust, as excessive rewards can trigger non-return strategies that suppress cooperation, while moderately costly rewards are most effective at consolidating trust clusters.
This paper empirically demonstrates that while the runtime of local greedy search for optimizing Sherrington-Kirkpatrick spin glass Hamiltonians is universal across various coupling distributions, the performance of Parisi's local reluctant search is surprisingly non-universal and sensitive to the specific entry distribution, particularly when couplings have discrete support.
This paper proposes a d-dimensional generalization of the Kuramoto model on matrix-weighted networks, deriving necessary conditions for global synchronization and proving via a Master Stability Function approach that the synchronous solution is locally stable for any positive coupling strength on connected networks.
This paper reviews various physical models, ranging from discrete to continuum approaches, used to understand the mechanics and coordination of embryonic epithelial wound healing, while highlighting the trade-offs between complexity and interpretability and proposing future directions for hybrid modeling and experimental integration.
This paper presents a symplectic Hamiltonian framework for thermodynamics that models equilibrium states as Lagrangian submanifolds and describes both reversible and irreversible processes, such as free expansion and heat transfer, through Hamiltonian dynamics and port-Hamiltonian systems.
The paper introduces a highly efficient one-way shooting algorithm for transition path sampling in overdamped stochastic systems that guarantees the acceptance of every proposed reactive trajectory through a reweighting scheme, thereby enabling the effective study of difficult-to-access processes like CO clathrate hydrate formation.
This paper introduces the Weighted Planar Stochastic Porous Lattice (WPSPL), a multifractal, scale-free porous substrate, and demonstrates through analytical and numerical methods that bond percolation on this lattice exhibits a continuous family of distinct universality classes with critical exponents that vary with porosity while satisfying the Rushbrooke inequality.
The paper proposes a biologically plausible mechanism where agents occasionally follow a deviating minority neighbor rather than the majority, a simple rule that triggers heavy-tailed reorientation cascades and significantly enhances a swarm's responsiveness to environmental changes while maintaining group cohesion.
This paper identifies a novel mechanism called "pseudo-coherence," where non-normal pseudospectral amplification in linearly stable, non-oscillatory stochastic systems drives a sharp transition to intermittent collective temporal organization and irreversible currents without requiring intrinsic oscillators or dynamical instabilities.
This paper reviews the limitations of static urban models and advocates for dynamic, empirically grounded frameworks based on partial differential equations to better capture the complex, non-equilibrium spatial dynamics of urban sprawl driven by population, infrastructure, and market factors.
This paper presents a theoretical design for a single-heat-source power generation cycle using R134a that claims to bypass the Carnot limit by leveraging asymmetric constraints to harvest ambient heat and produce net work from a micro temperature difference.
This paper demonstrates a method using a dynamic optical trap with tunable parameters and correlated noise to experimentally realize and systematically study the microrheological response of configurable viscoelastic media, including single- and double-relaxation fluids, which are otherwise difficult to access with real materials.
This paper experimentally investigates light transmission through dense atomic vapor, demonstrating that the propagation can be modeled as a Lévy flight with a length-dependent local power exponent and a step-length distribution that alternates based on atomic collisions, where the measured Lévy index is determined by the system size.
This paper introduces a thermodynamic model that learns low-dimensional, context-independent representations of intrinsically disordered protein (IDR) sequences to quantitatively predict their partitioning and multicomponent phase behavior in complex mixtures, providing a unified and interpretable framework for understanding biomolecular condensate formation.
This paper extends a statistical framework to predict the thermodynamics of self-interstitial dumbbells in concentrated multicomponent alloys, revealing that solute elements like Cr can stabilize high-energy defects and induce symmetry-breaking distortions in the defect free energy surface.
This paper establishes a microscopic framework for non-Markovian phonon dynamics driven by high-intensity THz pulses, using molecular dynamics simulations to derive noise and dissipation kernels that quantify heat production and reveal the crossover between Markovian and non-Markovian regimes on picosecond timescales.
This paper characterizes the electronic entropy and specific heat of square, honeycomb, and triangular lattices under magnetic fields, revealing that these thermodynamic observables exhibit fractal self-similarity and distinct oscillations that serve as high-resolution spectroscopic fingerprints for the underlying Hofstadter butterfly spectra.
This paper investigates the diffusive behavior of a quantum particle driven by correlated Gaussian noise by deriving the analytical solution for its joint probability density function and obtaining explicit expressions for the mean square momentum and mean square displacement.
This paper proposes a tunable quantum system combining a frozen qubit with a chaotic thermal bath that, under selective state observation, exhibits a novel "Wigner Cat Phase" characterized by bimodal "cat-ears" eigenstates and heavy-tailed level spacing statistics, representing a distinct non-thermal transition between quantum chaos and many-body localization that challenges standard integrability detection methods.
This paper establishes a theoretical and numerical framework linking operator complexity, quantified by Operator Stabilizer Rényi entropy, to the efficiency of Pauli-propagation methods for simulating real-time dynamics in quantum spin systems, demonstrating that truncation accuracy is governed by this complexity and that the method achieves high performance in both free and interacting regimes.