H
Hao Yang
Researcher at University of Oxford
Publications - 58
Citations - 2206
Hao Yang is an academic researcher from University of Oxford. The author has contributed to research in topics: Ptychography & Scanning transmission electron microscopy. The author has an hindex of 18, co-authored 57 publications receiving 1744 citations. Previous affiliations of Hao Yang include Pacific Northwest National Laboratory & Lawrence Berkeley National Laboratory.
Papers
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Journal ArticleDOI
Signature of type-II Weyl semimetal phase in MoTe2
Juan Jiang,Zhongkai Liu,Yan Sun,Hao Yang,Catherine R. Rajamathi,Yanpeng Qi,L. X. Yang,Cheng Chen,Han Peng,C. C. Hwang,Shuaishuai Sun,Sung-Kwan Mo,Ivana Vobornik,J. Fujii,Stuart S. P. Parkin,Claudia Felser,Binghai Yan,Yulin Chen +17 more
TL;DR: Using angle-resolved photoemission spectroscopy (ARPES), the authors of as discussed by the authors visualize the electronic structure of MoTe2, a recently proposed type-II topological semimetal.
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Smart Align—a new tool for robust non-rigid registration of scanning microscope data
Lewys Jones,Hao Yang,Timothy J. Pennycook,Timothy J. Pennycook,Matthew S. J. Marshall,Sandra Van Aert,Nigel D. Browning,Martin R. Castell,Peter D. Nellist +8 more
TL;DR: In this paper, an improved automated method of performing non-rigid registration customised for the challenges unique to scanned microscope data specifically addressing the issues of low-SNR data, images containing a large proportion of crystalline material and/or local features of interest such as dislocations or edges.
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Efficient phase contrast imaging in STEM using a pixelated detector. Part 1: experimental demonstration at atomic resolution.
Timothy J. Pennycook,Timothy J. Pennycook,Andrew R. Lupini,Hao Yang,M.F. Murfitt,Lewys Jones,Peter D. Nellist,Peter D. Nellist +7 more
TL;DR: The method of high efficiency ptychography produces the clearest images, while annular bright field produces almost no contrast for an in-focus aberration-corrected probe.
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Simultaneous atomic-resolution electron ptychography and Z-contrast imaging of light and heavy elements in complex nanostructures.
Hao Yang,R N Rutte,Lewys Jones,Martin Simson,Ryusuke Sagawa,H. Ryll,Martin Huth,Timothy J. Pennycook,Malcolm L. H. Green,Heike Soltau,Yukihito Kondo,Benjamin G. Davis,Peter D. Nellist +12 more
TL;DR: Yang et al. as discussed by the authors used the aberration-corrected scanning transmission electron microscope (STEM) to solve the structure of a beam-sensitive carbon nanostructure at atomic-resolution.
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The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images.
TL;DR: This work applies compressive sensing via Bayesian dictionary learning to high-resolution STEM images by applying the method to images of strontium titanate and zeolites and shows that this approach is valid for both atomic-resolution images and nanometer-resolution studies.