arrow
Return

Real-time solar coronal modelling

delete2023-10-17
delete0
PRE
AI
M
M. S. Wheatland *
DOI:10.1038/s41550-023-02085-8delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Physics-informed neural networks allow the construction of state-of-the-art models of magnetic fields in active regions on the Sun in real time, enabling rapid investigation of the source regions for space weather.
Keywords:
MAGNETIC-FIELD

Journal

Nature Astronomy cover
Nature Astronomy
IF:
14.3
Papers:
2.8K
Citations:
1.3W

Organization

U
University of Sydney
Scholars:
6.5W
Papers: 6.2W
Citations: 90
Cited Papers

Cited Papers

EVOLUTION OF MAGNETIC FIELD AND ENERGY IN A MAJOR ERUPTIVE ACTIVE REGION BASED ON SDO/HMI OBSERVATION
err2012-03-09
err317
errOAAI
errSun, Xudong; Hoeksema, J. Todd; Liu, Yang; Wiegelmann, Thomas; Hayashi, Keiji; Chen, Qingrong; Thalmann, Julia
errShare
errSave
Physics-informed neural networks (PINNs) for fluid mechanics: a review
err2022-01-23
err820
PREAI
errCai, Shengze; Mao, Zhiping; Wang, Zhicheng; Yin, Minglang; Karniadakis, George Em
errShare
errSave
errShare
errSave
Cu-Ni Thin Films Electrodeposited on Si: Composition and Current Efficiency
err2001-09-01
err0
PREAI
errM.L. Sartorelli; A.Q. Schervenski; R.G. Delatorre; P. Klauss; A.M. Maliska; A.A. Pasa
errShare
errSave
Probing the solar coronal magnetic field with physics-informed neural networks
err2023-07-13
err25
errOAAI
errJarolim, R.; Thalmann, J. K.; Veronig, A. M.; Podladchikova, T.
errShare
errSave
no more