Haixing Fang (H Fang)

Years Active: 2020-2023
Publications (10 Years): 7

Technical University of Denmark

Technische Universiteit Delft (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Technical University of Denmark Feb 18 2019

Denmark

postdoc :: Mechanical Engineering

Technische Universiteit Delft Sep 04 2014 - Jan 10 2019

Netherlands

PhD candidate :: Radiation Sciences & Technology

Education History

Technische Universiteit Delft Sep 04 2014 - Jan 10 2019

Netherlands

PHD :: Deparment of Radiation Sciences and Technology

Chongqing University Sep 06 2011 - Jun 24 2014

China

MSC :: Department of Metallurgical Engineering

Chongqing University Sep 01 2007 - Jun 30 2011

China

BSC :: Department of Metallurgical Engineering

Publications

Haixing Fang, Wolfgang Ludwig, Pierre Lhuissier
Implementation of grain mapping by diffraction contrast tomography on a conventional laboratory tomography setup with various detectors. Journal of applied crystallography 56 (Pt 3) (2023)
Haixing Fang, Wolfgang Ludwig, Pierre Lhuissier
Reconstruction algorithms for grain mapping by laboratory X-ray diffraction contrast tomography. Journal of applied crystallography 55 (Pt 6) (2022)
Haixing Fang, Wolfgang Ludwig, Pierre Lhuissier
Reconstruction algorithms for grain mapping by laboratory X-ray diffraction contrast tomography. Journal of applied crystallography 55 (Pt 6) (2022)
Adam Lindkvist, Haixing Fang, Dorte Juul Jensen, Yubin Zhang
Optimizing laboratory X-ray diffraction contrast tomography for grain structure characterization of pure iron. Journal of applied crystallography 54 (Pt 1) (2021)
Haixing Fang, E Hovad, Yubin Zhang, Line Katrine Harder Clemmensen, B Kjaer Ersbøll, Dorte Juul Jensen
Deep learning for improving non-destructive grain mapping in 3D. IUCrJ 8 (Pt 5) (2021)
Haixing Fang, Dorte Juul Jensen, Yubin Zhang
Improved grain mapping by laboratory X-ray diffraction contrast tomography. IUCrJ 8 (Pt 4) (2021)
Haixing Fang, Dorte Juul Jensen, Yubin Zhang
A flexible and standalone forward simulation model for laboratory X-ray diffraction contrast tomography. Acta crystallographica. Section A, Foundations and advances 76 (Pt 6) (2020)

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