W
Wei Wu
Researcher at University of Southern California
Publications - 653
Citations - 23024
Wei Wu is an academic researcher from University of Southern California. The author has contributed to research in topics: Nanoimprint lithography & Lithography. The author has an hindex of 67, co-authored 588 publications receiving 19560 citations. Previous affiliations of Wei Wu include DuPont Central Research & Wuhan University.
Papers
More filters
Journal ArticleDOI
Recent progress on magnetic iron oxide nanoparticles: synthesis, surface functional strategies and biomedical applications.
TL;DR: This review focuses on the recent development and various strategies in the preparation, microstructure, and magnetic properties of bare and surface functionalized iron oxide nanoparticles (IONPs); their corresponding biological application was also discussed.
Journal ArticleDOI
Fabrication of 5 nm linewidth and 14 nm pitch features by nanoimprint lithography
Michael D. Austin,Haixiong Ge,Wei Wu,Mingtao Li,Zhaoning Yu,Daniel Wasserman,Stephen Aplin Lyon,Stephen Y. Chou +7 more
TL;DR: In this paper, the authors report advances in nano-print lithography, its application in nanogap metal contacts, and related fabrication yield, and demonstrate 5nm linewidth and 14nm linepitch in resist using nanoimprint at room temperature with a pressure less than 15psi.
Journal ArticleDOI
Memristor―CMOS Hybrid Integrated Circuits for Reconfigurable Logic
Qiangfei Xia,Warren Robinett,Cumbie Michael W,Neel Banerjee,Thomas J. Cardinali,Jianhua Yang,Wei Wu,Xuema Li,William M. Tong,Dmitri B. Strukov,Gregory S. Snider,Gilberto Medeiros-Ribeiro,R. Stanley Williams +12 more
TL;DR: Hybrid reconfigurable logic circuits were fabricated by integrating memristor-based crossbars onto a foundry-built CMOS (complementary metal-oxide-semiconductor) platform using nanoimprint lithography, as well as materials and processes that were compatible with the CMOS.
Journal ArticleDOI
Assemblathon 1: A competitive assessment of de novo short read assembly methods
Dent Earl,Keith Bradnam,John St. John,Aaron E. Darling,Dawei Lin,Joseph Fass,Hung On Ken Yu,Vince Buffalo,Daniel R. Zerbino,Mark Diekhans,Ngan Nguyen,Pramila N. Ariyaratne,Wing-Kin Sung,Wing-Kin Sung,Zemin Ning,Matthias Haimel,Jared T. Simpson,Nuno A. Fonseca,Inanc Birol,T. Roderick Docking,Isaac Ho,Daniel S. Rokhsar,Rayan Chikhi,Dominique Lavenier,Dominique Lavenier,Guillaume Chapuis,Delphine Naquin,Delphine Naquin,Nicolas Maillet,Nicolas Maillet,Michael C. Schatz,David R. Kelley,Adam M. Phillippy,Sergey Koren,Shiaw-Pyng Yang,Wei Wu,Wen-Chi Chou,Anuj Srivastava,Timothy I. Shaw,J. Graham Ruby,J. Graham Ruby,Peter Skewes-Cox,Peter Skewes-Cox,Miguel Betegon,Miguel Betegon,Michelle Dimon,Michelle Dimon,Victor V. Solovyev,Igor Seledtsov,Petr Kosarev,Denis Vorobyev,Ricardo H. Ramirez-Gonzalez,Richard M. Leggett,Dan MacLean,Fangfang Xia,Ruibang Luo,Zhenyu Li,Yinlong Xie,Binghang Liu,Sante Gnerre,Iain MacCallum,Dariusz Przybylski,Filipe J. Ribeiro,Shuangye Yin,Ted Sharpe,Giles Hall,Paul J. Kersey,Richard Durbin,Shaun D. Jackman,Jarrod Chapman,Xiaoqiu Huang,Joseph L. DeRisi,Mario Caccamo,Yingrui Li,David B. Jaffe,Richard E. Green,David Haussler,Ian F Korf,Benedict Paten +78 more
TL;DR: The Assemblathon 1 competition is described, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies, and it is established that it is possible to assemble the genome to a high level of coverage and accuracy.
Journal ArticleDOI
Regional variation limits applications of healthy gut microbiome reference ranges and disease models.
Yan He,Wei Wu,Wei Wu,Hui-Min Zheng,Pan Li,Daniel McDonald,Hua-Fang Sheng,Mu-Xuan Chen,Zihui Chen,Guiyuan Ji,Zhong-Dai-Xi Zheng,Prabhakar Mujagond,Xiaojiao Chen,Zu-Hua Rong,Peng Chen,Li-Yi Lyu,Xian Wang,Chong-Bin Wu,Nan Yu,Yanjun Xu,Jia Yin,Jeroen Raes,Jeroen Raes,Rob Knight,Wenjun Ma,Hongwei Zhou +25 more
TL;DR: To understand the generalizability of microbiota-based diagnostic models of metabolic disease, the gut microbiota was characterized of 7,009 individuals from 14 districts within 1 province in China and among phenotypes, host location showed the strongest associations with microbiota variations.