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Title: Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography

Journal Article · · IEEE Transactions on Computational Imaging
ORCiD logo [1]; ORCiD logo [2];  [3];  [2]; ORCiD logo [1]
  1. Purdue Univ., West Lafayette, IN (United States)
  2. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
+ Show Author Affiliations

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC02-06CH11357; AC52-07NA27344
OSTI ID:
1471594
Alternate ID(s):
OSTI ID: 1476192
Report Number(s):
LLNL-JRNL-731358; 136122
Journal Information:
IEEE Transactions on Computational Imaging, Vol. 4, Issue 3; ISSN 2573-0436
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

Cited By (1)

Holographic vector field electron tomography of three-dimensional nanomagnets journal July 2019

Figures / Tables (10)

Fig. 1(p. 2)figure Fig. 1
Algorithm 1(p. 6)figure Algorithm 1
Algorithm 2(p. 7)figure Algorithm 2
Algorithm 3(p. 7)figure Algorithm 3
Fig. 2(p. 9)figure Fig. 2
Fig. 3(p. 10)figure Fig. 3
TABLE I(p. 10)table TABLE I
Fig. 4(p. 11)figure Fig. 4
Fig. 5(p. 12)figure Fig. 5
Fig. 6(p. 13)figure Fig. 6

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Related Subjects

97 MATHEMATICS AND COMPUTING
electron microscopy
image reconstruction
iterative algorithms
magnetic vector potential
magnetization
tomography
vector fields