816 papers
Using sign-problem-free quantum Monte Carlo simulations, this study maps the global phase diagram of a mobile impurity in a two-dimensional Bose-Hubbard model to reveal two distinct self-trapping mechanisms: an interaction-driven crossover in the superfluid phase characterized by impurity winding number collapse, and a compressibility-controlled localization in the Mott insulator phase driven by bath stiffness loss and defect quantization.
This paper extends self-dual nonlinear electrodynamics from four to $4p\mathsf{U}(1)(2p-1)$-forms, while introducing new theories where the energy-momentum tensor trace governs the flow with respect to a duality-invariant deformation parameter.
This study demonstrates that a statistical mechanics model, combining a linear model with an Ising model and parametrized by in vitro binding energy measurements of the transcription factor Klf4, accurately predicts its genome-wide occupancy across the human genome without additional fitting parameters.
This paper introduces a novel, size-extensive, and convergent degenerate coupled-cluster (CC) theory capable of handling arbitrary reference states and a related quasidegenerate variant (QCC) for strong correlation, demonstrating superior accuracy and convergence over existing methods like EOM-CC, CI, and MBGF through high-order implementations.
This paper establishes that biorthogonal ensembles with a specific derivative structure possess an explicit double contour integral correlation kernel, which serves as a foundation for asymptotic analysis and reveals two new classes of limit kernels: a deformed hard edge Bessel kernel and a kernel arising from Muttalib-Borodin type deformations.
This paper presents fast, linear-time solvers for the Reynolds equation on piecewise linear geometries using Schur complement inversion, which achieve second-order accuracy for non-linear heights and are validated by comparing their solutions against the Stokes equation to assess the limits of lubrication theory.
This paper proposes a novel, decentralized approach to securing the domestic supply of the medical isotope Mo by adapting high-current deuterium cyclotrons, originally designed for neutrino research, to generate sufficient neutrons for isotope production without relying on nuclear reactors or highly enriched uranium.
This paper proposes a hardware-efficient framework for constrained optimization on probabilistic machines by introducing native multi-state p-dits and mean-field constraints to eliminate dense couplings, thereby restoring sparsity and enabling orders-of-magnitude acceleration via FPGA implementation.
This paper introduces a hierarchical Lorentz mirror model to prove normal transport in dimensions and proposes a universal $2/3$ mean-variance law for conductance, supported by numerical evidence suggesting this ratio is a signature of normal transport across dimensions.
This study demonstrates that while mean-field methods fail to predict polariton formation with a Fock state cavity initialization, full-quantum simulations reveal that such non-classical initial conditions uniquely induce light-matter entanglement and specific operator oscillations, highlighting the necessity of a quantum electrodynamics treatment for capturing these phenomena.
This paper extends PrvanoviÄ's coordinate-free formulation of the Einstein connection for almost Hermitian manifolds to almost contact metric manifolds satisfying an -torsion condition, providing explicit torsion formulas and analyzing special cases within the Gray-Hervella classification.
The paper introduces **peapods**, a high-performance, open-source Python package leveraging a Rust core to efficiently simulate Ising spin systems on periodic Bravais lattices using a comprehensive suite of single-spin-flip, cluster, and replica-based Monte Carlo algorithms validated against exact critical temperatures.
This paper presents a framework called CV-FEST that utilizes Harmonic Linear Discriminant Analysis to predict and rationally engineer the conformational transition rates of proteins like Chignolin by correlating residue-level mutation effects and statistical separation metrics with free-energy barriers, all derived from minimal local sampling without the need for exhaustive simulations.
This study numerically verifies that the Jarzynski equality and Crook fluctuation theorem hold for a non-Gaussian Brownian particle in a heterogeneous thermal bath described by a diffusing-diffusivity model, demonstrating that these fundamental relations remain valid even when the work distribution is non-Gaussian.
This paper presents an exact analytic solution to planar QCD by quantizing internal Majorana fermions on a rigid minimal surface, which reduces the theory to a confining twistor string that successfully predicts the meson spectrum and Regge trajectories through geometric localization and Catastrophe Theory.
This paper investigates a diverse spectrum of Euclidean gravitational saddles, including wormholes and oscillatory solutions, within Einstein-Scalar-Maxwell models to identify phase transitions, demonstrate how potential flat directions are stabilized, and estimate the probabilities of various cosmological outcomes by analytically continuing these backgrounds to Lorentzian FLRW universes.
This paper introduces a novel, low-cost, data-driven framework using Vector Quantization Principal Component Analysis (VQPCA) to identify structural sensitivity zones and dominant flow patterns in fluid dynamics, successfully validating the method on cylinder wakes and synthetic jets to enable effective flow control strategies without relying on adjoint methods.
This paper proposes a novel machine learning framework that utilizes convolutional neural networks and Wilson lines to efficiently perform lattice gauge fixing in SU(3) gauge theory, demonstrating improved scalability, reduced critical slowing down, and successful transferability of parameters from smaller to larger lattice volumes.
This paper presents a combined ATLAS and CMS analysis of Higgs boson pair production at 13 TeV using Run 2 data, which found no significant evidence for the signal but established upper limits on the production cross-section and set constraints on the Higgs trilinear self-coupling and its coupling to vector bosons.
This paper presents a radiation-hardened 130 nm CMOS delta-sigma current digitizer capable of achieving over 200 dB dynamic range and sub-picoampere resolution for beam loss monitoring, while maintaining a 10 µs response time for machine protection and demonstrating robust performance up to 100 Mrad total ionizing dose.