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Koichi Momma

Researcher at National Institute for Materials Science

Publications -  67
Citations -  22342

Koichi Momma is an academic researcher from National Institute for Materials Science. The author has contributed to research in topics: Crystal structure & Chemistry. The author has an hindex of 14, co-authored 54 publications receiving 16447 citations. Previous affiliations of Koichi Momma include Tohoku University.

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VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data

TL;DR: VESTA has been upgraded to the latest version, VESTA 3, implementing new features including drawing the external mor­phology of crystals, and an extended bond-search algorithm to enable more sophisticated searches in complex molecules and cage-like structures.
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VESTA: a three-dimensional visualization system for electronic and structural analysis

TL;DR: VESTA as mentioned in this paper is a cross-platform program for visualizing both structural and volumetric data in multiple windows with tabs, including isosurfaces, bird's-eye views and two-dimensional maps.
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Three-dimensional Visualization in Powder Diffraction

TL;DR: A new three-dimensional visualization system, VESTA, is developed, using wxWidgets as a C++ application framework, which excels in visualization, rendering, and manipulation of crystal structures and electron/nuclear densities determined by X-ray/ neutron diffraction and electronic-structure calculations.
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Dysnomia, a computer program for maximum-entropy method (MEM) analysis and its performance in the MEM-based pattern fitting

TL;DR: Reliability indices in MPF analyses proved to have been improved by using multiple F constraints and weighting factors based on lattice-plane spacings, d, in comparison with those obtained with PRIMA.
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Experimental visualization of lithium conduction pathways in garnet-type Li7La3Zr2O12.

TL;DR: In this article, the evolution of the Li-ion displacements in the 3D interstitial pathways of cubic garnet-type Li7La3Zr2O12, cubic Li7la3zr2o12 was investigated with high-temperature neutron diffraction (HTND) from RT to 600 °C; the maximum entropy method (MEM) was applied to estimate the Li nuclear density distribution.