Runge-Kutta implementation for the CCL COVID-19 model, Feb. 1–24, 2021.

Figshare2021-10-20 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Runge-Kutta_implementation_for_the_CCL_COVID-19_model_Feb_1_24_2021_/16838709 数据链接链接失效反馈

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资源简介：

Runge-Kutta implementation for the CCL COVID-19 model, Feb. 1–24, 2021.

创建时间：

2021-10-20

多极矩序参量微观理论和高效计算方法

物理学研究

计算方法

主要面向多极矩序参量微观理论和唯像理论的研究，基于大型计算机集群的第一性原理计算产生，主要记录了响应函数本征值等数据，数据量0.38MB。采集方案为在大型计算机集群使用第一性原理计算软件数值计算模拟获得；采集地点为华中科技大学国家脉冲强磁场科学中心；采集时间为2020年1月-2020年10月；使用设备为华科技大学国家脉冲强磁场科学中心计算集群。

国家基础学科公共科学数据中心160

Data from: A computational method for sharp interface advection

流体动力学

计算方法

We devise a numerical method for passive advection of a surface, such as the interface between two incompressible fluids, across a computational mesh. The method is called isoAdvector, and is develo

DataCite Commons2025-05-01 更新90

S2. Fitting model candidates to high-fidelity D 1j datasets from Anchoring the mean generation time in the SEIR to mitigate biases in ℜ 0 estimates due to uncertainty in the distribution of the epidemiological delays

传染病动力学模型

贝叶斯估计

This appendix illustrates the process of fitting various parameterisations of the SE1IjR model (M1j) to high-fidelity D1j incidence reports. We mean by parameterisation the decision of categorising mo

NIAID Data Ecosystem60

Computational methods for fast Bayesian model assessment via calibrated posterior p-values

贝叶斯统计

计算方法

Posterior predictive p-values (ppps) have become popular tools for Bayesian model assessment, being general-purpose and easy to use. However, interpretation can be difficult because their distribution

DataCite Commons2026-05-21 更新90

HRMC_2.0: Hybrid Reverse Monte Carlo method with silicon, carbon and germanium potentials

材料科学

计算方法

Abstract The Hybrid Reverse Monte Carlo (HRMC) code models the atomic structure of materials via the use of a combination of constraints including experimental diffraction data and an empirical ener

NIAID Data Ecosystem80

Runge-Kutta implementation for the CCL COVID-19 model, Feb. 1–24, 2021.

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