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Aug 31, 2021 · SN 2018agk: A Prototypical Type Ia Supernova with a Smooth Power-law Rise in Kepler (K2) Qinan Wang, Armin Rest, Yossef Zenati, Ryan Ridden-Harper, Georgios Dimitriadis, Gautham Narayan, V. Ashley Villar, Mark R. Magee, Ryan J. Foley, Edward J. Shaya, Peter Garnavich, Lifan Wang, Lei Hu, Attila Bodi, Patrick Armstrong, Katie Auchettl, Thomas ...
- arXiv:2108.13607 [astro-ph.HE]
1242. 2013. Optically reconfigurable metasurfaces and photonic devices based on phase change materials. Q Wang, ETF Rogers, B Gholipour, CM Wang, G Yuan, J Teng, ... Nature photonics 10 (1), 60-65. , 2016. 1153. 2016. Tunable and reconfigurable metasurfaces and metadevices.
Zhibao Dong,Guangqiang Qinan,Ping Lu,Wanyin Luo,Hongtao Wang, First published: 05 August 2008. https://doi.org/10.1002/esp.1704. Citations: 20. PDF. Tools. Share. Abstract. The turbulence field of airflow in the lee of a dune has significant impacts on dune dynamics and related processes.
- Zhibao Dong, Zhibao Dong, Guangqiang Qinan, Ping Lu, Wanyin Luo, Hongtao Wang
- 2009
A three-person game theory model arising in stochastic inventory control theory. Q Wang, M Parlar. European Journal of Operational Research 76 (1), 83-97. , 1994. 135. 1994. Improving a supplier's quantity discount gain from many different buyers. Q Wang, Z Wu. IIE transactions 32 (11), 1071-1079.
Jul 19, 2023 · Cell Reports Physical Science. Volume 4, Issue 7, 19 July 2023, 101481. Article. Dynamic residual deep learning with photoelectrically regulated neurons for immunological classification. Author links open overlay panel. Qinan Wang 1 2. , Sixuan Duan 1 2. , Jiahao Qin 3. , Yi Sun 1 2. , Shihang Wei 1 2. , Pengfei Song 1. , Wen Liu 1. ,
Qinan Wang, Sixuan Duan, Jiahao Qin, ..., Xin Tu, Hao Gao, Chun Zhao pengfei.song@xjtlu.edu.cn (P.S.) wen.liu@xjtlu.edu.cn (W.L.) chun.zhao@xjtlu.edu.cn (C.Z.) Highlights The synapticMXene transistorhas high symmetry of LTP/LTD Dynamic learning improves the accuracy of a highly similar and homologous database LSTM, Cifar10, and Cifar100
2019. Physics-informed machine learning for reduced-order modeling of nonlinear problems. W Chen, Q Wang, JS Hesthaven, C Zhang. Journal of Computational Physics 446, 110666. , 2021. 150. 2021. Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism.
