首页|Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept

Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept

Christoph U. Keller

来源：

Arxiv

Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept

Christoph U. Keller

作者信息

引用本文复制引用

Christoph U. Keller.Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept[EB/OL].(2025-05-07)[2025-12-13].https://arxiv.org/abs/2505.04865.

学科分类

天文学

首发时间： 2025-05-07

下载量：0

点击量：1

段落导航

Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept

Data-driven radiative hydrodynamics simulations of the solar photosphere using physics-informed neural networks: proof of concept

引用本文复制引用

学科分类

评论