Results 161 to 170 of about 48,781 (279)

Reweighting Scheme for the Calculation of Grand‐Canonical Expectation Values in Quantum Monte Carlo Simulations With a Fermion Sign Problem

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann   +2 more
wiley   +1 more source

2D Implementation of Kinetic‐Diffusion Monte Carlo in Eiron

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Particle‐based kinetic Monte Carlo simulations of neutral particles are one of the major computational bottlenecks in tokamak scrape‐off layer simulations. This computational cost comes from the need to resolve individual collision events in high‐collisional regimes.
Oskar Lappi   +3 more
wiley   +1 more source

The Prevention of Eating Disorders in Australian Adolescents: A Modeled Cost‐Effectiveness Study

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Prevention programs for eating disorders (EDs) have the potential to reduce the onset of these diseases and improve the mental health and well‐being of the general population. However, there is mixed evidence on whether routine implementation of such programs at the population level is cost‐effective.
Long Khanh‐Dao Le   +5 more
wiley   +1 more source

New inequalities for p(n) and logp(n). [PDF]

open access: yesRamanujan J, 2023
Banerjee K, Paule P, Radu CS, Zeng W.
europepmc   +1 more source

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert   +2 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

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