activity
20092023
most citedIn-situ growth of superconducting NdFeAs(O,F) thin films by Molecular Beam Epitaxy

60 citations · 125 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation

Shota Hozumi, Kentaro Kutsukake, Kota Matsui +3

In material characterization, identifying defective areas on a material surface is fundamental. The conventional approach involves measuring the relevant physical properties point-…

stat.ML2021★ 6 cited

Bayesian Optimization for Cascade-type Multi-stage Processes

Shunya Kusakawa, Shion Takeno, Yu Inatsu +6

Complex processes in science and engineering are often formulated as multistage decision-making problems. In this paper, we consider a type of multistage decision-making process ca…

stat.ML2019★ 6 cited

Bayesian Active Learning for Structured Output Design

Kota Matsui, Shunya Kusakawa, Keisuke Ando +3

In this paper, we propose an active learning method for an inverse problem that aims to find an input that achieves a desired structured-output. The proposed method provides new ac…

cond-mat.supr-con2010★ 60 cited

In-situ growth of superconducting NdFeAs(O,F) thin films by Molecular Beam Epitaxy

T. Kawaguchi, H. Uemura, T. Ohno +5

The recently discovered high temperature superconductor F-doped LaFeAsO and related compounds represent a new class of superconductors with the highest transition temperature (Tc)…

cond-mat.supr-con2009★ 53 cited

Epitaxial Growth of NdFeAsO Thin Films by Molecular Beam Epitaxy

T. Kawaguchi, H. Uemura, T. Ohno +6

Epitaxial films of NdFeAsO were grown on GaAs substrates by molecular beam epitaxy (MBE). All elements including oxygen were supplied from solid sources using Knudsen cells. The x-…