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About 10,000 papers for “numerical code”

ASHEE numerical code

Cerminara, Matteo · Zenodo (CERN European Organization for Nuclear Research) · 2022

A compressible fluid-dynamic model is developed to numerically simulate the non-equilibrium dynamics of polydisperse gas-particle mixtures forming volcanic plumes and dilute pyroclastic density currents. Main references are: http://www.geosci-model-dev-discuss.net/8/8895/2015/gmdd-8-8895-2015-metrics.html http://linkinghub.elsevier.com/retrieve/pii/S0377027316301688 https://doi.org/10.1038/s41467-019-10337-3 The code has been written by using the OpenFOAM libraries. Starting from the three-dimensional N-phase Eulerian transport equations for a mixture of gases and solid particles, we adopt an asymptotic expansion strategy to derive a compressible version of the first-order non-equilibrium model, valid for low concentration regimes (volumetric concentration smaller than 1 vol.%) and small particles Stokes number St<0.2. When St<0.001, the model reduces to the dusty-gas one. The model is significantly faster than standard multiphase Eulerian models, while retaining the capability to describe gas-particle non-equilibrium. Direct numerical simulation accurately reproduce the dynamics of isotropic turbulence in subsonic regime. For gas-particle mixtures, it describes the main features of density fluctuations and the preferential concentration of particles by turbulence, verifying the model reliability and suitability for the simulation of high-Reynolds number and high-temperature regimes. On the other hand, dynamic Large-Eddy Numerical Simulations of forced plumes are able to reproduce their observed averaged and instantaneous properties without then need of any empirical parameters for turbulence. The self-similar radial profile and the development of large-scale structures are reproduced, including the rate of entrainment of atmospheric air. Application to the Large-Eddy Simulation of the injection of the eruptive mixture in a stratified atmosphere describes some of important features of turbulent volcanic plumes, including air entrainment, buoyancy reversal, and maximum plume height. Coarse particles partially decouple from the gas within eddies, modifying the turbulent structure, and preferentially concentrate at the eddy periphery, eventually being lost from the plume margins due to the gravity. By these mechanisms, gas-particle non-equilibrium is able to influence the large-scale behavior of volcanic plumes.

Cited by 0Open access

Numerical analysis code.

Bin Chen (63682), Wenying Xie (9204751), Fuyou Huang (9204754) et al. · Figshare · 2020

Cited by 0Open access

Numerical analysis code.

Bin Chen (63682), Wenying Xie (9204751), Fuyou Huang (9204754) et al. · Figshare · 2020

Cited by 0Open access

Numerical analysis code.

Bin Chen (63682), Wenying Xie (9204751), Fuyou Huang (9204754) et al. · Figshare · 2020

Cited by 0Open access

Numerical analysis code.

Bin Chen (63682), Wenying Xie (9204751), Fuyou Huang (9204754) et al. · Figshare · 2020

Cited by 0Open access

Numerical simulation source code.

Jie Deng (190312), Li Yao (113027), Mengyi Chen (3346595) et al. · Figshare · 2024

<div><p>The effect of demand uncertainty reduction (DUR) on supply chain management has received tremendous attention. From a financial perspective, studying the impact of DUR is equally significant. This study explores the relationship between DUR and private equity (PE) financing in retail enterprises within a supply chain, which comprises a dominant supplier and a subordinate retailer. This article establishes decision models for a retailer backed by PE under three market demand conditions: range, mean, and range with mean. The study further investigates the impact of partial demand uncertainty reduction (PDUR) on the retailer and PE through comparative analysis of these scenarios. To address incomplete market demand information during the decision-making process, the study employs the minimax regret criterion to construct and solve the model. An intriguing finding of this study is that contrary to intuition, PDUR not only fails to promote PE but also reduces the retailer’s willingness to finance and decreases the asset size for both the retailer and PE. In addition, the better the growth potential for the retail enterprise, the more severe the negative impact brought about by PDUR. Moreover, the impact of PDUR on supplier and supply chain performance is two-fold. PDUR based on range information has a negative impact on the expected profit of the supplier and the supply chain, while PDUR based on mean information has a positive impact on their expected profit.</p></div>

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Numerical experiments source code

Arroyo Esquivel, Jorge · Mendeley Data · 2018

Netlogo source code for the simulations of the model presented in the article.

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numerical source data and code

Chai, Zhi · Figshare · 2022

numerical source data for graphs and charts, corresponding to all the main and supplementary figures of the manuscript below, organized by folders <strong>A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients</strong>

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numerical source data and code

Zhi Chai · Figshare · 2022

numerical source data for graphs and charts, corresponding to all the main and supplementary figures of the manuscript below, organized by folders <strong>A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients</strong>

Cited by 0Open access

Numerical Tokamak Project code comparison

R. E. Waltz, B. I. Cohen, M Beer · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1994

greatest intellectual challenges to our understanding of the physics of tokamak performance and needs the most advanced computational resources to progress. We are conducting detailed comparisons of kinetic and fluid numerical models of tokamak turbulence. These comparisons are stimulating the improvement of each and the development of hybrid models which embody aspects of both. The combination of emerging massively parallel processing hardware and algorithmic improvements will result in an estimated 10**2--10**6 performance increase. Development of information processing and visualization tools is accelerating our comparison of computational models to one another, to experimental data, and to analytical theory, providing a bootstrap effect in our understanding of the target physics. The measure of success is the degree to which the experimentally observed scaling of fluctuation-driven transport may be predicted numerically. The NTP is advancing the HPCC Initiative through its state-of-the-art computational work. We are pushing the capability of high performance computing through our efforts which are strongly leveraged by OFE support.

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The Numerical Electromagnetic Code (NEC)

James K. Breakall, G.J. Burke, E.K. Miller · 1985

In the 20 years or so since the first computer-based Moment-Method solutions for EM radiation and scattering problems were presented, numerous computer codes have been developed. Relatively few of them have found applications beyond those for which they were originally intended. Of the latter, furthermore, only a small fraction have received widespread acceptance and implementation.

Cited by 11

numerical modeling data &amp; code

Yan Zhiyong · Zenodo (CERN European Organization for Nuclear Research) · 2021

The first release of our numerical modeling data on subduction zone jump.

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Numerical Framework and Code Architecture

Stanford, Paul Vincent Raymond · Zenodo (CERN European Organization for Nuclear Research) · 2025

This paper presents the computational and analytical realization of the Sc-Rubs persistence field and examines how threshold resonance governs field coherence and pattern stabilization. Using both symbolic and numerical evaluation, it reconstructs the recursive Laplacian field φ = PF τ(r) and verifies the Law of Persistence through iterative solution of ∇·(|∇φ|^{p−2} ∇φ) − β Δ²φ + ∂Vα/∂φ = 0. Results demonstrate that stable geometric persistence emerges when the activation threshold α ≈ 0.3 is crossed, producing resonance lock between curvature and diffusion modes. The simulations confirm that roughly 70 % of the system’s residual energy forms the root-mean-square equilibrium value, matching analytical expectations from earlier papers. This state defines the coherence plateau — a regime where form, energy, and recursion achieve dynamic stability. Computational modules written in Python reproduce the octahedral–spherical–cubic transitions under controlled parameter sweeps (β ≈ 24, 10 ≤ λ ≤ 80), demonstrating convergence toward scalar-field persistence. These results validate the complete Sc-Rubs framework as a unified scalar-field model of self-organization and geometric emergence. This paper concludes the Sc-Rubs Modelling Series prior to the unified mathematical statement (Paper 8: Unified Scalar-Field Description).For figures, code fragments, and supporting data, visit https://sc-rubs.cloud.Related DOI: 10.5281/zenodo.17443937.

Cited by 0Open access

Numerical Framework and Code Architecture

Stanford, Paul Vincent Raymond · Zenodo (CERN European Organization for Nuclear Research) · 2025

This paper presents the computational and analytical realization of the Sc-Rubs persistence field and examines how threshold resonance governs field coherence and pattern stabilization. Using both symbolic and numerical evaluation, it reconstructs the recursive Laplacian field φ = PF τ(r) and verifies the Law of Persistence through iterative solution of ∇·(|∇φ|^{p−2} ∇φ) − β Δ²φ + ∂Vα/∂φ = 0. Results demonstrate that stable geometric persistence emerges when the activation threshold α ≈ 0.3 is crossed, producing resonance lock between curvature and diffusion modes. The simulations confirm that roughly 70 % of the system’s residual energy forms the root-mean-square equilibrium value, matching analytical expectations from earlier papers. This state defines the coherence plateau — a regime where form, energy, and recursion achieve dynamic stability. Computational modules written in Python reproduce the octahedral–spherical–cubic transitions under controlled parameter sweeps (β ≈ 24, 10 ≤ λ ≤ 80), demonstrating convergence toward scalar-field persistence. These results validate the complete Sc-Rubs framework as a unified scalar-field model of self-organization and geometric emergence. This paper concludes the Sc-Rubs Modelling Series prior to the unified mathematical statement (Paper 8: Unified Scalar-Field Description).For figures, code fragments, and supporting data, visit https://sc-rubs.cloud.Related DOI: 10.5281/zenodo.17443937.

Cited by 0Open access