https://github.com/bin-cao/wpem

A X-ray Diffraction Refinement Software

https://github.com/bin-cao/wpem

Science Score: 49.0%

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    Found 4 DOI reference(s) in README
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    Links to: sciencedirect.com, mdpi.com
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    Low similarity (9.0%) to scientific vocabulary

Keywords

bragg em embragg wpem
Last synced: 5 months ago · JSON representation

Repository

A X-ray Diffraction Refinement Software

Basic Info
  • Host: GitHub
  • Owner: Bin-Cao
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 205 MB
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  • Stars: 6
  • Watchers: 1
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Topics
bragg em embragg wpem
Created over 3 years ago · Last pushed 7 months ago
Metadata Files
Readme

README.md

WPEM

Whole Pattern fitting of powder X-ray diffraction by Expectation Maximum (WPEM) package!

Home Page

cite

CAO, Bin (2024). Whole Pattern fitting of powder X-ray diffraction by Expectation Maximum algorithm. figshare. Software. https://doi.org/10.6084/m9.figshare.25060175.v1.

My master dissertation give a detailed introduction of the beta version of WPEM : see Link

The official release version will meet with you as soon as possible

WPEM papers


WPEM specializes in elucidating intricate crystal structures and untangling heavily overlapping Bragg peaks in mixed X-rays and polycrystalline powder diffraction. Our endeavors have yielded noteworthy research outcomes, including the precise detection of subtle structural differences, such as the α phase and α' phase of Ti-Ni alloy, the differentiation of amorphous and crystalline contributions in Polybutene, the investigation of complex solid solution structures, and the computation of scattering information within organized processes. We are eager to engage in extensive collaborations and offer support in X-ray diffraction pattern refinement. For inquiries or assistance, please don't hesitate to contact us at bcao686@connect.hkust-gz.edu.cn (Dr. CAO Bin).

Our development journey commenced in 2020, driven by a commitment to patience and perfection in our work. Upon the publication of our final paper, we plan to freely share all our code promptly.

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Owner

  • Name: 曹斌 | Bin CAO
  • Login: Bin-Cao
  • Kind: user
  • Location: Shanghai
  • Company: Shanghai University

Machine learning | Materials Informatics|Mechanics

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