726 papers
This paper introduces a hybrid Monte Carlo algorithm for global time-dependent particle transport that utilizes automatic weight windows derived from a second-order accurate, noise-filtered hybrid MC/deterministic solution of low-order second-moment equations to achieve uniform particle distribution and enhanced computational efficiency.
This paper proposes "Efficient Vision Mamba," a computationally lightweight deep learning framework that combines multi-head selective state-space models with hybrid scanning to achieve state-of-the-art MRI super-resolution performance while drastically reducing parameters and computation compared to existing methods.
This paper demonstrates that neglecting heat flux in relativistic Couette-type flows leads to qualitatively incorrect profiles due to the "inertia of heat," a phenomenon where heat flux contributes to momentum density and necessitates energy transport across boundaries to balance viscous heating.
This paper introduces a generalized Gross-Pitaevskii equation with logarithmic density-dependent coupling to model 2D attractive Bose systems, enabling the theoretical analysis of quantum droplets, breathing modes, quench dynamics, and universal excited states while providing a robust framework for future experimental investigations.
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 proposes a molecular kinetic model for Lennard-Jones fluids that accurately reproduces equilibrium properties and reveals significant deviations from the classical Hertz-Knudsen relation under non-equilibrium evaporation conditions, thereby advancing the development of efficient computational frameworks for real fluid flows.
This paper proposes a novel high-density free-neutron target system, integrating a supercompact cyclotron with advanced moderation and cryogenic technologies, to enable high-luminosity neutron capture measurements on short-lived radioactive ions in storage rings for nuclear astrophysics research.
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.
This paper demonstrates that within a distributional framework, the Principle of Virtual Work is necessary to characterize equilibrium in higher-gradient continua where balance laws alone are insufficient, and it clarifies that Noll's theorem regarding surface contact forces relies on assumptions that fail for such materials, thereby validating the existence of curvature-dependent contact interactions.
This paper, authored by the ISMRM MRS Synthetic Data Working Group, reviews and evaluates current practices, applications, and considerations for generating and utilizing synthetic data in Magnetic Resonance Spectroscopy to address challenges such as limited training data, software validation, and the optimization of acquisition and deep learning models.
This paper presents a computationally efficient method that leverages short unbiased molecular dynamics trajectories and Harmonic Linear Discriminant Analysis (HLDA) to predict how single-point mutations reshape the free-energy landscape of the CLN025 peptide, offering a data-driven approach for engineering biomolecular stability without extensive sampling.
This paper analyzes the coherent-state transformation in quantum electrodynamics coupled cluster theory to demonstrate that extending this transformation to the reference state induces a renormalization of correlation energy and the ground state that breaks origin invariance for charged systems and exhibits a divergent low-frequency limit, unlike the original formulation.
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 presents a conceptual design and simulation study of a novel high-granularity crystal electromagnetic calorimeter using orthogonally arranged scintillating bars and SiPMs, demonstrating an energy resolution of $1.12\%/\sqrt{E(\mathrm{GeV})}\oplus0.22\%$ that significantly exceeds the requirements for precision measurements at future Higgs factories.
This paper reveals that the (PsH)₂ molecular complex is stabilized by a unique "two-positron gluic bond" driven by quantum correlations between positrons, which manifests as an anomalously strong "super" van der Waals interaction that cannot be explained by mean-field or standard electron-correlation models.
This paper reports the successful adaptation of an industrial physical vapor deposition process, originally developed for OLED manufacturing, to produce scalable, uniform, and high-quality *p*-terphenyl wavelength-shifting films on large-area inorganic substrates for the Deep Underground Neutrino Experiment's photon detection system.
This paper provides a learner-focused, methodical exposition on deriving the General Lagrangian Mean (GLM) and pseudo-Lagrangian equations for inviscid, incompressible, homogeneous fluids to describe the interactions between mean flows and waves.
By applying a physics-based framework to a global dataset of 109 geohazard events, this study reveals a universal, near-linear scaling relationship between precursory duration and failure volume, indicating that catastrophic failures across diverse mechanically driven systems are governed by common organizing mechanisms involving the progressive growth of correlated deformation toward a dynamical critical point.
The paper introduces SAP-X2C, a computationally efficient two-component relativistic Hamiltonian that incorporates two-electron picture-change effects via Lehtola's superposition of atomic potentials to achieve accuracy comparable to complex mean-field methods while maintaining size-intensivity for extended systems.
This paper applies the exact factorization formalism to molecular Kohn-Sham density functional theory to derive disentangled marginal and conditional equations that offer new pathways for extending electronic DFT beyond the Born-Oppenheimer approximation while addressing correlations from second-order geometrical derivatives.