
Feng Gao - Linköping University
Prof. Feng Gao is leading a research group focusing on organic and perovskite semiconductors at Linköping University. He works as a full professor at Linköping since 2020. Before 2020, Feng Gao was associate professor (2017-2020), assistant professor (2015-2017), and Marie Skłodowska-Curie Individual Fellow (2013-2015) at Linköping.
Feng GAO - Google Scholar
Feng GAO. Linköping University. Verified email at ifm.liu.se. Organic electronics Photovoltaics Perovskites Light-emitting diodes Nanocrystals. Articles Cited by Public access. Title. ... F Gao, XY Chen, KB Yin, S Dong, ZF Ren, F Yuan, T Yu, ZG Zou, JM Liu. Advanced materials 19 (19), 2889-2892, 2007.
Feng Gao : USDA ARS
Feng Gao, Ph.D. Research Physical Scientist USDA-ARS Hydrology and Remote Sensing Laboratory Bldg. 007, Rm. 101, BARC-West Beltsville, MD 20705-2350 USA Voice: (301) 504-6576 Fax: (301) 504-8931 [email protected]
Feng GAO | PhD | Linköping University, Linköping | LiU
Feng GAO | Cited by 41,884 | of Linköping University, Linköping (LiU) | Read 335 publications | Contact Feng GAO
Gao Feng - NJU
2020年4月24日 · Professor Gao has published 60 papers on various famous international and Chinese SCI journals including Angewandte Chemie (International Edition), Advanced Materials, Nano Letters and Chemical...
GAO Feng-Shanghai Jiao Tong University School of Medicine
Gao is currently a principal investigator in the Department of Molecular Biology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, and also serves...
Feng Gao | IEEE Xplore Author Details
Feng Gao (Member, IEEE) received the B.S. degree in electronic science and technology from Zhejiang University, Hangzhou, China, in 2014, and the Ph.D. degree in electronic and computer engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2018. He joined HKUST as a Postdoctoral Research Fellow in 2018.
GAO Feng, Ph.D. - Zhejiang Lab
Research and Innovation in key technologies of edge intelligence, enabling the application of deep learning algorithms in edge intelligence.
Feng Gao (高峰) - Google Scholar
New insights into Cu/SSZ-13 SCR catalyst acidity. Part I: Nature of acidic sites probed by NH3 titration. CO oxidation on Pt-group metals from ultrahigh vacuum to near atmospheric pressures. 2....
Gao FENG | PhD | Doctor of Philosophy - ResearchGate
Gao FENG, PhD | Cited by 445 | of Chinese Academy of Sciences, Beijing (CAS) | Read 24 publications | Contact Gao FENG