| Gyrokinetic particle simulations of the effects of compressional magnetic perturbations on drift-Alfvenic instabilities in tokamaks G Dong, J Bao, A Bhattacharjee, A Brizard, Z Lin, P Porazik Physics of Plasmas 24 (8), 2017 | 30 | 2017 |
| Effects of magnetic islands on bootstrap current in toroidal plasmas G Dong, Z Lin Nuclear Fusion 57 (3), 036009, 2016 | 20 | 2016 |
| Nonlinear saturation of kinetic ballooning modes by zonal fields in toroidal plasmas G Dong, J Bao, A Bhattacharjee, Z Lin Phys. Plasmas 26 (1), 010701, 2019 | 19 | 2019 |
| Deep learning based surrogate models for first-principles global simulations of fusion plasmas G Dong, X Wei, J Bao, G Brochard, Z Lin, W Tang Nuclear Fusion 61 (12), 126061, 2021 | 16 | 2021 |
| Gyrokinetic simulation of low-frequency Alfvénic modes in DIII-D tokamak GJ Choi, P Liu, XS Wei, JH Nicolau, G Dong, WL Zhang, Z Lin, ... Nuclear Fusion 61 (6), 066007, 2021 | 16 | 2021 |
| System-on-chip upgrade of millimeter-wave imaging diagnostics for fusion plasma Y Zhu, JH Yu, G Yu, Y Ye, Y Chen, B Tobias, A Diallo, G Kramer, Y Ren, ... Review of Scientific Instruments 92 (5), 2021 | 12 | 2021 |
| Fully convolutional spatio-temporal models for representation learning in plasma science G Dong, KG Felker, A Svyatkovskiy, W Tang, J Kates-Harbeck Journal of Machine Learning for Modeling and Computing 2 (1), 2021 | 12 | 2021 |
| Gyrokinetic simulations of toroidal Alfvén eigenmodes excited by energetic ions and external antennas on the Joint European Torus V Aslanyan, S Taimourzadeh, L Shi, Z Lin, G Dong, P Puglia, M Porkolab, ... Nuclear Fusion 59 (2), 026008, 2018 | 11 | 2018 |
| Verification and validation of linear gyrokinetic and kinetic-MHD simulations for internal kink instability in DIII-D tokamak G Brochard, J Bao, C Liu, N Gorelenkov, G Choi, G Dong, P Liu, ... Nuclear Fusion 62 (3), 036021, 2022 | 10 | 2022 |
| MAS: A versatile Landau-fluid eigenvalue code for plasma stability analysis in general geometry J Bao, WL Zhang, D Li, Z Lin, G Dong, C Liu, HS Xie, G Meng, JY Cheng, ... Nuclear Fusion 63 (7), 076021, 2023 | 5 | 2023 |
| Reconstruction of tokamak plasma safety factor profile using deep learning X Wei, S Sun, W Tang, Z Lin, H Du, G Dong Nuclear Fusion 63 (8), 086020, 2023 | 4 | 2023 |
| Linear simulation of kinetic electromagnetic instabilities in a tokamak plasma with weak magnetic shear Y Zhao, J Wang, D Liu, W Chen, G Dong, Z Lin Physics of Plasmas 28 (1), 2021 | 4 | 2021 |
| Effects of radial electric field on kinetic ballooning mode in toroidal plasma YC Chen, YQ Qin, GY Sun, G Dong, Y Xiao, Z Lin Physics of Plasmas 30 (2), 2023 | 1 | 2023 |
| Role of wave-particle resonance in turbulent transport in toroidal plasmas G Dong, Z Lin Plasma Physics and Controlled Fusion 64 (3), 035005, 2022 | 1 | 2022 |
| Exploration of quantum machine learning and ai accelerators for fusion science M Liu, G Dong, KG Felker, M Otten, P Balaprakash, W Tang, Y Alexeev Argonne National Lab.(ANL), Argonne, IL (United States), 2022 | 1 | 2022 |
| Implementation of AI/DEEP learning disruption predictor into a plasma control system W Tang, G Dong, J Barr, K Erickson, R Conlin, D Boyer, J Kates‐Harbeck, ... Contributions to Plasma Physics 63 (5-6), e202200095, 2023 | | 2023 |
| The developement of deep learning based surrogate model of GTC (SGTC) X Wei, G Dong, W Tang, Z Lin, J Bao, S Sun, H Chen APS Division of Plasma Physics Meeting Abstracts 2023, UP11. 105, 2023 | | 2023 |
| Tokamak Disruption Predictions Based on Deep Learning Temporal Convolutional Neural Networks G Dong, K Felker, A Svyatkovskiy, W Tang, J Kates-Harbeck APS Division of Plasma Physics Meeting Abstracts 2020, BO05. 002, 2020 | | 2020 |
| Deep Learning Studies Linking Tokamak Disruption to Neoclassical Tearing Modes (NTM's) G Dong, J Kates-Harbeck, N McGreivy, Z Lin, W Tang APS Division of Plasma Physics Meeting Abstracts 2019, PP10. 106, 2019 | | 2019 |
| Nonlinear Dynamics of the Kinetic Ballooning Modes G Dong Princeton University, 2019 | | 2019 |
