Meng Jin
Meng Jin
LMSAL/SETI Institute
Verified email at - Homepage
Cited by
Cited by
Alfvén wave solar model (AWSoM): coronal heating
B van der Holst, IV Sokolov, X Meng, M Jin, WB Manchester IV, G Toth, ...
The Astrophysical Journal 782 (2), 81, 2014
Magnetohydrodynamic waves and coronal heating: unifying empirical and MHD turbulence models
IV Sokolov, B Van der Holst, R Oran, C Downs, II Roussev, M Jin, ...
The Astrophysical Journal 764 (1), 23, 2013
Atmospheric escape from the TRAPPIST-1 planets and implications for habitability
C Dong, M Jin, M Lingam, VS Airapetian, Y Ma, B van der Holst
Proceedings of the National Academy of Sciences 115 (2), 260-265, 2018
Impact of space weather on climate and habitability of terrestrial-type exoplanets
VS Airapetian, R Barnes, O Cohen, GA Collinson, WC Danchi, CF Dong, ...
International Journal of Astrobiology 19 (2), 136-194, 2020
A global wave-driven magnetohydrodynamic solar model with a unified treatment of open and closed magnetic field topologies
R Oran, B Van Der Holst, E Landi, M Jin, IV Sokolov, TI Gombosi
The Astrophysical Journal 778 (2), 176, 2013
Data Constrained Coronal Mass Ejections in A Global Magnetohydrodynamics Model
M Jin, WB Manchester, B van der Holst, I Sokolov, G Toth, RE Mullinix, ...
The Astrophysical Journal 834 (2), 173, 2017
A machine-learning data set prepared from the NASA solar dynamics observatory mission
R Galvez, DF Fouhey, M Jin, A Szenicer, A Muñoz-Jaramillo, ...
The Astrophysical Journal Supplement Series 242 (1), 7, 2019
Chromosphere to 1 AU Simulation of the 2011 March 7th Event: A Comprehensive Study of Coronal Mass Ejection Propagation
M Jin, WB Manchester, B van der Holst, I Sokolov, G Toth, A Vourlidas, ...
The Astrophysical Journal 834 (2), 172, 2017
The unique potential of extreme mass-ratio inspirals for gravitational-wave astronomy
CPL Berry, SA Hughes, CF Sopuerta, AJK Chua, A Heffernan, ...
arXiv preprint arXiv:1903.03686, 2019
Predicting solar flares with machine learning: Investigating solar cycle dependence
X Wang, Y Chen, G Toth, WB Manchester, TI Gombosi, AO Hero, Z Jiao, ...
The Astrophysical Journal 895 (1), 3, 2020
A global two-temperature corona and inner heliosphere model: A comprehensive validation study
M Jin, WB Manchester, B van der Holst, JR Gruesbeck, RA Frazin, ...
The Astrophysical Journal 745 (1), 6, 2011
Coronal mass ejection induced outflows observed with Hinode/EIS
M Jin, MD Ding, PF Chen, C Fang, S Imada
The Astrophysical Journal 702 (1), 27, 2009
Numerical simulations of coronal mass ejection on 2011 March 7: one-temperature and two-temperature model comparison
M Jin, WB Manchester, B Van Der Holst, R Oran, I Sokolov, G Toth, Y Liu, ...
The Astrophysical Journal 773 (1), 50, 2013
Review of solar energetic particle prediction models
K Whitman, R Egeland, IG Richardson, C Allison, P Quinn, J Barzilla, ...
Advances in Space Research 72 (12), 5161-5242, 2023
A numerical study of long-range magnetic impacts during coronal mass ejections
M Jin, CJ Schrijver, MCM Cheung, ML DeRosa, NV Nitta
The Astrophysical Journal 820 (1), 16, 2016
Probing the puzzle of behind-the-limb γ-ray flares: Data-driven simulations of magnetic connectivity and CME-driven shock evolution
M Jin, V Petrosian, W Liu, NV Nitta, N Omodei, FR da Costa, ...
The Astrophysical Journal 867 (2), 122, 2018
Probing the physics of the solar atmosphere with the multi-slit solar explorer (MUSE). II. flares and eruptions
MCM Cheung, J Martínez-Sykora, P Testa, B De Pontieu, G Chintzoglou, ...
The Astrophysical Journal 926 (1), 53, 2022
Atmospheric escape from TOI-700 d: Venus versus Earth analogs
C Dong, M Jin, M Lingam
The Astrophysical Journal Letters 896 (2), L24, 2020
The solar wind from a stellar perspective-How do low-resolution data impact the determination of wind properties?
SB Saikia, M Jin, CP Johnstone, T Lüftinger, M Güdel, VS Airapetian, ...
Astronomy & Astrophysics 635, A178, 2020
A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance
A Szenicer, DF Fouhey, A Munoz-Jaramillo, PJ Wright, R Thomas, ...
Science advances 5 (10), eaaw6548, 2019
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