Publications by authors named "Jiepeng Liu"

Article Synopsis
  • The registration of bridge point cloud data (PCD) is crucial for applications like modeling and monitoring bridge health, but current methods often focus only on pairwise registration, neglecting multi-view approaches.
  • This paper introduces a marker-free template-guided method that efficiently aligns multiple unordered bridge PCDs by recovering overlaps and creating a connection between scans.
  • The proposed approach utilizes a graph-partition algorithm for structuring scans and combines coarse-to-fine registration techniques, demonstrating high accuracy through tests on various bridge datasets.
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The precise annotation and accurate identification of neural structures are prerequisites for studying mammalian brain function. The orientation of neurons and neural circuits is usually determined by mapping brain images to coarse axial-sampling planar reference atlases. However, individual differences at the cellular level likely lead to position errors and an inability to orient neural projections at single-cell resolution.

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Atomic manipulation has been rarely used in the studies of complex structures and a low temperature requirement usually limits its application. Herein we have demonstrated a vertical manipulation technique to reproducibly and reversibly manipulating Ag atoms on an Si(111)-(7×7) surface by a scanning tunneling microscope tip at room temperature. Simple and complex Ag nanoclusters were assembled and disassembled with a precise control of single Ag atoms, which provided critical information on the size of these nanoclusters.

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By measuring the temperature-dependent tunneling spectroscopy of a set of flat-top Pb islands from 3.2 to 15 K, the limiting size of a nine-monolayer-thick Pb island with superconductivity above 3.2 K was determined to be ∼ 30 nm(2), in good agreement with the Anderson criterion.

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