Ge Dong
Princeton University
H-index: 8
North America-United States
Top articles of Ge Dong
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Implementation of AI/DEEP learning disruption predictor into a plasma control system | Contributions to Plasma Physics | William Tang Ge Dong Jayson Barr Keith Erickson Rory Conlin | 2023/6 |
Effects of radial electric field on kinetic ballooning mode in toroidal plasma | Physics of Plasmas | YC Chen YQ Qin GY Sun G Dong Y Xiao | 2023/2/1 |
The developement of deep learning based surrogate model of GTC (SGTC) | APS Division of Plasma Physics Meeting Abstracts | Xishuo Wei Ge Dong William Tang Zhihong Lin Jian Bao | 2023 |
Reconstruction of tokamak plasma safety factor profile using deep learning | Nuclear Fusion | Xishuo Wei Shuying Sun William Tang Zhihong Lin Hongfei Du | 2023/6/28 |
MAS: A versatile Landau-fluid eigenvalue code for plasma stability analysis in general geometry | Nuclear Fusion | Jian Bao Wenlu Zhang Ding Li Zhihong Lin Ge Dong | 2023/4/19 |
Role of wave-particle resonance in turbulent transport in toroidal plasmas | Plasma Physics and Controlled Fusion | Ge Dong Zhihong Lin | 2022/1/21 |
Exploration of quantum machine learning and ai accelerators for fusion science | Minzhao Liu Ge Dong Kyle Gerard Felker Matthew Otten Prasanna Balaprakash | 2022/1/14 | |
Verification and validation of linear gyrokinetic and kinetic-MHD simulations for internal kink instability in DIII-D tokamak | Nuclear Fusion | Guillaume Brochard Jian Bao Chang Liu Nikolai Gorelenkov G Choi | 2022/1/28 |
Fully convolutional spatio-temporal models for representation learning in plasma science | Journal of Machine Learning for Modeling and Computing | Ge Dong Kyle Gerard Felker Alexey Svyatkovskiy William Tang Julian Kates-Harbeck | 2021 |
Deep learning based surrogate models for first-principles global simulations of fusion plasmas | Nuclear Fusion | Ge Dong Xishuo Wei Jian Bao Guillaume Brochard Zhihong Lin | 2021/11/18 |
System-on-chip upgrade of millimeter-wave imaging diagnostics for fusion plasma | Review of Scientific Instruments | Y Zhu J-H Yu G Yu Y Ye Y Chen | 2021/5/1 |
Gyrokinetic simulation of low-frequency Alfvénic modes in DIII-D tokamak | Nuclear Fusion | GJ Choi P Liu XS Wei JH Nicolau G Dong | 2021/4/23 |
Linear simulation of kinetic electromagnetic instabilities in a tokamak plasma with weak magnetic shear | Physics of Plasmas | Yunchuan Zhao Jiaqi Wang Dongjian Liu Wei Chen Ge Dong | 2021/1/1 |
Tokamak Disruption Predictions Based on Deep Learning Temporal Convolutional Neural Networks | APS Division of Plasma Physics Meeting Abstracts | Ge Dong Kyle Felker Alexey Svyatkovskiy William Tang Julian Kates-Harbeck | 2020 |
