X-ray Ptychography Technology: Recent Developments and Applications

A special issue of Optics (ISSN 2673-3269).

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 427

Special Issue Editor


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Guest Editor
SLAC National Accelerator Laboratory, Stanford University, Menlo Park, Stanford, CA 94025, USA
Interests: ultrafast fluctuations in quantum materials, such as the relation between spin and orbital states for orbitonics, charge density wave for superconductivity or skyrmions in magnetic materials for future devices; imaging strain in nanomaterials, which amounts to very different effects on materials properties and device functionalities

Special Issue Information

Dear Colleagues,

Ptychography for nanoscale imaging has attracted significant research effort over the last decade, hence it has come to the fore-front of high-resolution microscopy. Real-time imaging of structural, chemical, electronic and magnetic changes in materials that are useful for strained semiconductors, catalysts, memories and batteries, and so on, in industrial application, could enormously benefit from more developments, for example, (hyper-)spectral-ptychography to study the location and the speciation of the chemical elements. Additionally, mixed-states ptychography in conjunction with machine-learning (ML) computational algorithms can be incorporated into the existing ptychographic methodology to accelerate its fast development and realize the full power of the technique.

The aim of our Special Issue is to attract high-quality original paper on advances in ptychography in the x-ray and optical regime (new algorithms, operando applications, dichroism). Topics of interest include, but are not limited to, the following:

  • Spectral-ptychography;
  • Laminography, 4D ptychography-tomography;
  • In situ nano batteries, catalysts and magnetism;
  • Machine learning, deep learning;
  • Near-field ptychography;
  • Linear and circular dichroism ptychography.

Dr. Nicolas Burdet
Guest Editor

Manuscript Submission Information

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Keywords

  • spectral-ptychography
  • in situ nano batteries
  • catalysts and magnetism
  • machine learning
  • deep learning
  • near-field ptychography
  • linear dichroism ptychography

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Published Papers

There is no accepted submissions to this special issue at this moment.
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