Results 171 to 180 of about 73,552 (281)

Almost optimal geometrically local quantum LDPC codes in any dimension. [PDF]

Nat Commun
Li X, Lin TC, Wills A, Hsieh MH.
europepmc   +1 more source

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

Contributions 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, Jan Vorberger, Tobias Dornheim   +2 more
wiley   +1 more source

On the Two-Step Hybrid Design for Augmenting Randomized Trials Using Real-World Data. [PDF]

Stat Biopharm Res
Xu J, van Eijk RPA, Ellis A, Pan T, Nelson LM, Roes KCB, van Dijk M, Sarno M, van den Berg LH, Tian L, Lu Y.   +10 more
europepmc   +1 more source

2D Implementation of Kinetic‐Diffusion Monte Carlo in Eiron

Contributions 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, Emil Løvbak, Thijs Steel, Giovanni Samaey   +3 more
wiley   +1 more source

Minimum Spacetime Length and the Thermodynamics of Spacetime. [PDF]

Entropy (Basel)
Rossi V, Cacciatori SL, Pesci A.
europepmc   +1 more source

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

Earthquake 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, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]

Biom J
Ruan K, van de Wiel MA, van Wieringen WN.   +2 more
europepmc   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source

Robust coexistence in competitive ecological communities. [PDF]

Nat Commun
Lechón-Alonso P, Kundu S, Lemos-Costa P, Capitán JA, Allesina S.   +4 more
europepmc   +1 more source

Lacunary 𝐈𝝈-Asymptotic Equivalence

Afyon Kocatepe University Journal of Sciences and Engineering, 2017
openaire   +1 more source