816 papers
This paper presents a rotational multimaterial 3D printing strategy that encodes programmable intrinsic curvature and twist into active-passive elastomeric filaments, enabling the fabrication of shape-morphing lattices with independently controlled bending and torsion for adaptive robotic applications.
This study utilizes classical Monte Carlo simulations of an effective quadrupole model on a diamond lattice to demonstrate that the competition between magnetic fields and quadrupole anisotropy, mediated by a crucial symmetry-allowed biquadratic interaction, drives successive single- and double- ordering transitions that reproduce the experimentally observed weak-field topology in PrIrZn.
This study on ASDEX Upgrade H-mode plasmas reveals that strong electron heating induces hollow toroidal rotation profiles by generating a counter-current intrinsic torque through a transition to mixed ITG-TEM turbulence, which balances inward convective momentum transport and is critically influenced by pedestal-top density.
This paper demonstrates that fractional Newtonian cosmology naturally yields a non-singular early universe transitioning into a stable inflationary phase, which resolves the horizon problem and provides a graceful exit to a radiation-dominated era through a specific relationship between the number of e-folds and the fractional parameter.
This paper presents a web-based, installation-free smartphone application that compensates for device rotation to provide global-coordinate acceleration data, enabling undergraduate students to accurately reconstruct motion trajectories and deepen their understanding of mechanics through hands-on experiments.
This study employs Monte Carlo simulations to investigate how nonmagnetic impurities and quenched random magnetic fields suppress the antiferromagnetic phase transition in Ising metamagnets, revealing distinct linear and nonlinear dependencies of the critical temperature on disorder concentration and field width, respectively, while confirming that the pure system's Néel temperature is recovered in the limit of vanishing disorder.
This paper employs a Green's function approach within relativistic Hartree-Fock theory to demonstrate that the exact microscopical treatment of Coulomb exchange terms significantly reduces proton resonance energies and widths in isotones compared to phenomenological methods, while revealing clear shell effects in their evolution.
This paper employs a suite of global models, including resolvent and harmonic resolvent analyses, to demonstrate that triadic and nonlinear interactions between the screech mode and other flow fluctuations are critical for explaining energy redistribution and accurately predicting the complex dynamics of screeching jets.
This paper introduces BNN-I6, a Bayesian Neural Network framework trained on ENDF/B-VIII.1 data that accurately predicts (n,p) reaction cross sections with quantified uncertainties, outperforming TENDL-2023 benchmarks while identifying theoretical cross-sections as the dominant predictive feature.
This paper demonstrates that the Superfluid -Cluster Model, by rigorously treating Nambu-Goldstone zero modes, provides a unified description of low-spin six- condensate states and high-spin C($0_2^+^{12}0_2^+^{24}$Mg, identifying these states as a signature of nuclear supersolidity characterized by the coexistence of superfluidity and crystallinity.
This paper explores the statistical mechanics of particles in indistinguishable energy states by adapting combinatorial counting methods to derive exact distribution functions, revealing that classical particles within this framework exhibit a definitive glass transition characterized by the vanishing of configurational entropy below a finite temperature.
This paper compares cache-conscious sort-and-sweep and tree-code algorithms for neighborhood computation in two-dimensional discrete element method simulations, finding that while tree codes offer slightly better performance and improved parallelization potential, they come at the cost of significantly increased code complexity.
This paper demonstrates that removing hubs from scale-free networks simultaneously degrades percolation robustness and triggers a cascade phase transition, creating a compounding vulnerability where both static and dynamic failure metrics worsen, a phenomenon absent in homogeneous networks.
Although power-counting suggests that spatially inhomogeneous diffusion is irrelevant in the contact process, large-scale simulations reveal that such disorder destabilizes the standard directed-percolation critical point by generating effective random-mass disorder, thereby driving the transition into an infinite-randomness universality class.
This paper demonstrates that while internal-external magnetic field separation is unique and stable on a full sphere, it becomes non-unique without prior assumptions and highly unstable even with reasonable assumptions when data is restricted to a subdomain, a challenge explained through a Hardy-Hodge decomposition of spherical vector fields.
This paper introduces a stochastic agent-based model of opinion dynamics incorporating heterogeneous issue weights and both attractive and repulsive social forces, revealing that even minor issues can destabilize consensus and drive polarization or pluralism depending on similarity thresholds, while offering symmetry-based insights and strategies to mitigate polarization through diversified discourse.
This paper presents a rapid, GPU-parallelized array-based algorithm that enables real-time, high-fidelity particle coincidence detection and centroiding for TimePix3-based velocity map imaging instruments, achieving processing speeds 25 times faster than data acquisition while outperforming traditional delay line anode detectors in discriminating simultaneous hits.
This study demonstrates that Transformer-based neural networks equipped with evidential output layers outperform LSTM and GRU models in predicting blood glucose and identifying adverse glycemic events for Type 1 diabetes by providing superior accuracy and well-calibrated uncertainty estimates validated on the HUPA-UCM dataset.
This paper proposes a universal framework explaining quadrupolar order in magneto-electric materials as a composite phase emerging from a parent state driven by thermal fluctuations and symmetry, offering a predictive approach for transition temperatures and strain coupling without requiring explicit microscopic details.
This paper presents a loop quantization of the marginally bound Lemaître-Tolman-Bondi dust model, demonstrating that the classical central singularity is resolved by a quantum bounce at Planckian densities, while also revealing that interference patterns in the wave function near the bounce limit the accuracy of effective loop quantum gravity theories compared to the full quantum dynamics.