PM-17Magnetic Microstructures Observation of Functional Materials by Small Angle Electron Diffraction and Lorentz Microscopy

Microscopy ◽  
2017 ◽  
Vol 66 (suppl_1) ◽  
pp. i26-i26
Author(s):  
Hiroshi Nakajima ◽  
Atsuhiro Kotani ◽  
Ken Harada ◽  
Yui Ishii ◽  
Shigeo Mori
Microscopy ◽  
2020 ◽  
Author(s):  
Shigeo Mori ◽  
Hiroshi Nakajima ◽  
Atsuhiro Kotani ◽  
Ken Harada

Abstract We describe small-angle electron diffraction (SmAED) and Lorentz microscopy using a conventional transmission electron microscope. In SmAED, electron diffraction patterns with a wide-angular range on the order of 1 × 10−2 rad to 1 × 10−7 rad can be obtained. It is demonstrated that magnetic information of nanoscale magnetic microstructures can be obtained by Fresnel imaging, Foucault imaging and SmAED. In particular, we report magnetic microstructures associated with magnetic stripes and magnetic skyrmions revealed by Lorentz microscopy with SmAED. SmAED can be applied to the analysis of microstructures in functional materials such as dielectric, ferromagnetic and multiferroic materials.


1999 ◽  
Vol 85 (2) ◽  
pp. 1228-1230 ◽  
Author(s):  
T. Yoshida ◽  
J. Endo ◽  
H. Kasai ◽  
K. Harada ◽  
N. Osakabe ◽  
...  

2019 ◽  
Vol 58 (5) ◽  
pp. 055006 ◽  
Author(s):  
Hiroshi Nakajima ◽  
Atsuhiro Kotani ◽  
Ken Harada ◽  
Shigeo Mori

1967 ◽  
Vol 2 (5) ◽  
pp. 457-469 ◽  
Author(s):  
G. S. Y. Yeh ◽  
P. H. Geil

Microscopy ◽  
2015 ◽  
Vol 64 (suppl 1) ◽  
pp. i17.2-i17
Author(s):  
Hiroshi Nakajima ◽  
Atsuhiro Kotani ◽  
Yui Ishii ◽  
Ken Harada ◽  
Shigeo Mori

2019 ◽  
Vol 52 (3) ◽  
pp. 507-519 ◽  
Author(s):  
Cedric J. Gommes ◽  
Tristan Asset ◽  
Jakub Drnec

In functional materials, nanoparticles are often dispersed in a porous support for the purpose of stabilizing them. This makes their characterization by small-angle scattering challenging because the signal comprises contributions from the nanoparticles of interest, from the inert support and from their cross-correlation. Exact analytical expressions for all three contributions are derived in the case of a Gaussian-field model of the porous support, with nanoparticles randomly distributed over the surface. For low nanoparticle loading, the expressions simplify to the addition of properly scaled support and particle scattering. For higher loadings, however, the cross-correlation cannot be ignored. Two approximations are introduced, which capture correlation effects in cases where the pores of the support are much larger or only slightly larger than the nanoparticles. The methods of the paper are illustrated with the small-angle X-ray scattering analysis of hollow metallic nanoparticles supported on porous carbon.


2018 ◽  
Vol 74 (2) ◽  
pp. 93-101 ◽  
Author(s):  
Yaşar Krysiak ◽  
Bastian Barton ◽  
Bernd Marler ◽  
Reinhard B. Neder ◽  
Ute Kolb

Nanoscaled porous materials such as zeolites have attracted substantial attention in industry due to their catalytic activity, and their performance in sorption and separation processes. In order to understand the properties of such materials, current research focuses increasingly on the determination of structural features beyond the averaged crystal structure. Small particle sizes, various types of disorder and intergrown structures render the description of structures at atomic level by standard crystallographic methods difficult. This paper reports the characterization of a strongly disordered zeolite structure, using a combination of electron exit-wave reconstruction, automated diffraction tomography (ADT), crystal disorder modelling and electron diffraction simulations. Zeolite beta was chosen for a proof-of-principle study of the techniques, because it consists of two different intergrown polymorphs that are built from identical layer types but with different stacking sequences. Imaging of the projected inner Coulomb potential of zeolite beta crystals shows the intergrowth of the polymorphs BEA and BEB. The structures of BEA as well as BEB could be extracted from one single ADT data set using direct methods. A ratio for BEA/BEB = 48:52 was determined by comparison of the reconstructed reciprocal space based on ADT data with simulated electron diffraction data for virtual nanocrystals, built with different ratios of BEA/BEB. In this way, it is demonstrated that this smart interplay of the above-mentioned techniques allows the elaboration of the real structures of functional materials in detail – even if they possess a severely disordered structure.


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