GENE coupling inputs

NIAID Data Ecosystem2026-03-11 收录

等离子体湍流模拟

科学计算耦合

数据链接：

https://zenodo.org/record/3687149 数据链接链接失效反馈

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资源简介：

This is the simplified version of the ADIOS2 supported in-memory coupling input for GENE provided by Gabriele Merlo.

创建时间：

2020-02-26

Practical Gyrokinetics

等离子体湍流模拟

磁约束核聚变

Thousands of gyrokinetic papers have been published since the introduction of the gyrokinetic change of variables. The intent here is not to review the field, but rather the goal is to present a tutor

NIAID Data Ecosystem80

Segmenting magnetized plasma turbulence with aweSOM

等离子体湍流模拟

间歇性检测

This dataset contains a snapshot of a fully kinetic particle-in-cell simulation of freely evolving plasma turbulence, as described in Nättilä & Beloborodov (2021). This dataset was used in the analys

NIAID Data Ecosystem20

gyroScatterEFF data: 590k element cyclone mesh

等离子体湍流模拟

磁约束聚变

Arrays and constants needed to run the gyroScatterEFF kernel on a single GPU without XGCm. Created with https://github.com/SCOREC/xgcm/tree/cws/extractGyroScatter @ 5a8f0b4. The bui

Zenodo2022-09-09 更新10

Example BOUT++ output from hasegawa-wakatani

等离子体湍流模拟

Hasegawa-Wakatani模型

Output files for the hasegawa-wakatani example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/hasegawa-wakatani). Created with BOUT++ at commit 999793fe363e062fd47da20bcd8ff67

NIAID Data Ecosystem50

Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles

等离子体湍流模拟

聚变能优化

Model-based plasma scenario development lies at the heart of the design and operation of future fusion powerplants. Including turbulent transport in integrated models is essential for delivering a suc

Harvard Dataverse2024-01-01 更新10

GENE coupling inputs

资源简介：

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