activity
20192022
most citedQuantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning

89 citations · 114 across the 5 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

4 papers · 1 filter

cond-mat.mtrl-sci20221 cited

interface_master: Python package building CSL and approximate CSL interfaces of any two lattices -- an effective tool for interface engineers

Yaoshu Xie, Kiyou Shibata, Teruyasu Mizoguchi

Crystalline interfaces are of highly importance in many practical applications. To conduct effective simulation and analysis for coincident site lattice (CSL) interfaces, effective…

cond-mat.mtrl-sci2021

Robotic fabrication of high-quality lamellae for aberration-corrected transmission electron microscopy

Hideyo Tsurusawa, Nobuto Nakanishi, Kayoko Kawano +3

Aberration-corrected scanning transmission electron microscopy (STEM) is widely used for atomic-level imaging of materials. To accelerate the discovery of new materials based on at…

cond-mat.mtrl-sci2020

Local thickness and composition measurements from scanning convergent-beam electron diffraction of a binary non-crystalline material obtained by a pixelated detector

K. Nakazawa, K. Mitsuishi, K. Shibata +2

We measured the local composition and thickness of SiO2-based glass material from diffraction. By using four dimensional scanning transmission electron microscopy (4D-STEM), we obt…

cond-mat.mtrl-sci201919 cited

Vibrational Effects in X-ray Absorption Spectra of 2D Layered Materials

Weine Olovsson, Teruyasu Mizoguchi, Martin Magnuson +4

With the examples of the C -edge in graphite and the B -edge in hexagonal BN, we demonstrate the impact of vibrational coupling and lattice distortions on the X-ray absorptio…