Y
Yi Cui
Researcher at Stanford University
Publications - 1109
Citations - 245406
Yi Cui is an academic researcher from Stanford University. The author has contributed to research in topics: Anode & Lithium. The author has an hindex of 220, co-authored 1015 publications receiving 199725 citations. Previous affiliations of Yi Cui include KAIST & University of California, Berkeley.
Papers
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Air-Filtering Masks for Respiratory Protection from PM2.5 and Pandemic Pathogens
TL;DR: In this article, the authors present an overview of the development of fibrous media for air filtration and highlight the importance of electret filters by reviewing various methods for imparting electrostatic charge on fibrous medium.
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Reactivation of dead sulfide species in lithium polysulfide flow battery for grid scale energy storage.
Yang Jin,Yang Jin,Yang Jin,Guangmin Zhou,Feifei Shi,Denys Zhuo,Jie Zhao,Kai Liu,Yayuan Liu,Chenxi Zu,Wei Chen,Rufan Zhang,Xuanyi Huang,Yi Cui,Yi Cui +14 more
TL;DR: A reactivation strategy by a reaction with cheap sulfur powder under stirring and heating to recover the cell capacity is proposed and the high volumetric energy density indicates its promising application for future grid energy storage.
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Photovoltaics: More solar cells for less
TL;DR: A solar-cell design based on silicon microwires achieves efficient absorption of sunlight while using only 1% of the active material used in conventional designs.
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Aharonov-Bohm interference in topological insulator nanoribbons
Hailin Peng,Hailin Peng,Keji Lai,Desheng Kong,Stefan Meister,Yulin Chen,Yulin Chen,Xiao-Liang Qi,Xiao-Liang Qi,Shou-Cheng Zhang,Shou-Cheng Zhang,Zhi-Xun Shen,Zhi-Xun Shen,Yi Cui +13 more
TL;DR: In this paper, the authors show unambiguous transport evidence of topological surface states through periodic quantum interference effects in layered single-crystalline Bi2Se3 nanoribbons.
Journal ArticleDOI
Integrating Radiosensitivity and Immune Gene Signatures for Predicting Benefit of Radiotherapy in Breast Cancer
TL;DR: An intrinsic radiosensitivity gene signature and an antigen processing and presentation-based immune signature have the potential to select patients who are most likely to benefit from radiotherapy.