43 citations · 352 across the 42 of their papers we have counts for
42 papers
A fast and accurate computation method for reflective diffraction simulations
Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi
We present a new computation method for simulating reflection high-energy electron diffraction and the total-reflection high-energy positron diffraction experiments. The two experi…
Data-analysis software framework 2DMAT and its application to experimental measurements for two-dimensional material structures
Yuichi Motoyama, Kazuyoshi Yoshimi, Izumi Mochizuki +3
An open-source data-analysis framework 2DMAT has been developed for experimental measurements of two-dimensional material structures. 2DMAT offers five analysis methods: (i) Nelder…
Performance prediction of massively parallel computation by Bayesian inference
Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya +2
A performance prediction method for massively parallel computation is proposed. The method is based on performance modeling and Bayesian inference to predict elapsed time T as a fu…
sim-trhepd-rheed -- Open-source simulator of total-reflection high-energy positron diffraction (TRHEPD) and reflection high-energy electron diffraction (RHEED)
Takashi Hanada, Yuichi Motoyama, Kazuyoshi Yoshimi +1
The present paper reports sim-trhepd-rheed (STR), an open-source simulator of total-reflection high-energy positron diffraction (TRHEPD) and reflection high-energy electron diffrac…
Data-driven sensitivity analysis in a total-reflection high-energy positron diffraction (TRHEPD) experiment of the SiON / 6H-SiC (0001)-() R30
Takeo Hoshi, Daishiro Sakata, Shotaro Oie +4
The present article proposes a data analysis method for experimentally-derived measurements, which consists of an auto-optimization procedure and a sensitivity analysis. The method…
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
Roman Iakymchuk, Daichi Mukunoki, Artur Podobas +15
In numerical computations, precision of floating-point computations is a key factor to determine the performance (speed and energy-efficiency) as well as the reliability (accuracy…