Understanding the 2D-material and substrate interaction during epitaxial growth towards successful remote epitaxy: a review

J Ji, HM Kwak, J Yu, S Park, JH Park, H Kim, S Kim… - Nano …, 2023 - Springer
Remote epitaxy, which was discovered and reported in 2017, has seen a surge of interest in
recent years. Although the technology seemed to be difficult to reproduce by other labs at …

Layered nanomaterials for renewable energy generation and storage

AA Nikitina, FV Lavrentev, VY Yurova, DY Piarnits… - Materials …, 2024 - pubs.rsc.org
This study focuses on potential applications of two-dimensional (2D) materials in renewable
energy research. Additionally, we briefly discuss other implementations of 2D materials in …

Machine-learning-assisted and real-time-feedback-controlled growth of InAs/GaAs quantum dots

C Shen, W Zhan, K ** of vertical contact electrodes using synchrotron scanning photoelectron microscopy
M Gu, H Jang, H Ahn, HJ Kim, MS Hyun, YC Park… - Applied Surface …, 2024 - Elsevier
With the rise in demand for high aspect ratio hole etching in semiconductor device
fabrication, develo** efficient inspection methods to detect etching failures is increasingly …

Enhanced accuracy through machine learning-based simultaneous evaluation: A case study of RBS analysis of multinary materials

G Magchiels, N Claessens, J Meersschaut… - Scientific Reports, 2024 - nature.com
We address the high accuracy and precision demands for analyzing large in situ or in
operando spectral data sets. A dual-input artificial neural network (ANN) algorithm enables …