Zobrazeno 1 - 10
of 619
pro vyhledávání: '"Lin, Zhihong"'
Autor:
Tang, William, Feibush, Eliot, Dong, Ge, Borthwick, Noah, Lee, Apollo, Gomez, Juan-Felipe, Gibbs, Tom, Stone, John, Messmer, Peter, Wells, Jack, Wei, Xishuo, Lin, Zhihong
In addressing the Department of Energy's April, 2022 announcement of a Bold Decadal Vision for delivering a Fusion Pilot Plant by 2035, associated software tools need to be developed for the integration of real world engineering and supply chain data
Externí odkaz:
http://arxiv.org/abs/2409.03112
Deep learning algorithms provide a new paradigm to study high-dimensional dynamical behaviors, such as those in fusion plasma systems. Development of novel model reduction methods, coupled with detection of abnormal modes with plasma physics, opens a
Externí odkaz:
http://arxiv.org/abs/2404.17466
This study employs gyrokinetic simulations to investigate ion temperature gradient (ITG) turbulence in realistic fusion plasmas featuring reverse magnetic shear. Negative magnetic shear is found to suppress the ITG instability due to the scarcity of
Externí odkaz:
http://arxiv.org/abs/2401.17162
Global gyrokinetic simulations find a strong helically-trapped electron mode (HTEM) driven by density gradients in the optimized stellarator W7-X fusion experiment. The eigenmode structure localizes in the inner side of the torus with an unfavorable
Externí odkaz:
http://arxiv.org/abs/2310.06988
Autor:
Lin Zhihong, Huang Yuedong
Publikováno v:
Applied Rheology, Vol 34, Iss 1, Pp 1-15 (2024)
This study introduces a novel hydraulic mount designed to achieve broad-spectrum engine vibration isolation. While previous studies have focused on vibration isolation using hydraulic mounts, there is a scarcity of research on achieving wideband vibr
Externí odkaz:
https://doaj.org/article/0fbe25cab0b0422d85dcfb227ad0856c
Autor:
Bao, Jian, Zhang, Wenlu, Li, Ding, Lin, Zhihong, Qiu, Zhiyong, Chen, Wei, Zhu, Xiang, Cheng, Junyi, Dong, Chao, Cao, Jintao
The energetic electrons (EEs) generated through auxiliary heating have been found to destabilize various Alfven eigenmodes (AEs) in recent experiments, which in turn lead to the EE transport and degrade the plasma energy confinement. In this work, we
Externí odkaz:
http://arxiv.org/abs/2305.05323
Autor:
Bao, Jian, Zhang, Wenlu, Li, Ding, Lin, Zhihong, Dong, Ge, Liu, Chang, Xie, Huasheng, Meng, Guo, Cheng, Junyi, Dong, Chao, Cao, Jintao
We have developed a new global eigenvalue code, Multiscale Analysis for plasma Stabilities (MAS), for studying plasma problems with wave toroidal mode number n and frequency omega in a broad range of interest in general tokamak geometry, based on a f
Externí odkaz:
http://arxiv.org/abs/2304.09476
In tokamak operations, accurate equilibrium reconstruction is essential for reliable real-time control and realistic post-shot instability analysis. The safety factor (q) profile defines the magnetic field line pitch angle, which is the central eleme
Externí odkaz:
http://arxiv.org/abs/2208.08730
Recent studies have validated the association between cardiovascular disease (CVD) risk and retinal fundus images. Combining deep learning (DL) and portable fundus cameras will enable CVD risk estimation in various scenarios and improve healthcare de
Externí odkaz:
http://arxiv.org/abs/2206.09202
Autor:
Tang, William, Dong, Ge, Barr, Jayson, Erickson, Keith, Conlin, Rory, Boyer, M. Dan, Kates-Harbeck, Julian, Felker, Kyle, Rea, Cristina, Logan, Nikolas C., Svyatkovskiy, Alexey, Feibush, Eliot, Abbatte, Joseph, Clement, Mitchell, Grierson, Brian, Nazikian, Raffi, Lin, Zhihong, Eldon, David, Moser, Auna, Maslov, Mikhail
This paper reports on advances to the state-of-the-art deep-learning disruption prediction models based on the Fusion Recurrent Neural Network (FRNN) originally introduced a 2019 Nature publication. In particular, the predictor now features not only
Externí odkaz:
http://arxiv.org/abs/2204.01289