A researcher's perspective on unconventional lab-to-fab for 2D semiconductor devices

SA Iyengar, S Bhattacharyya, S Roy, NR Glavin… - ACS …, 2023 - ACS Publications
Current silicon technology is on the verge of reaching its performance limits. This aspect,
coupled with the global chip shortage, makes a solid case for steering our attention toward …

Apparent colors of 2D materials

S Puebla, H Li, H Zhang… - Advanced Photonics …, 2022 - Wiley Online Library
Finding 2D and thin‐film layered materials have become essential to develop not only in
scientific‐related fields, but also in a wide industry, which is constantly feeding from this …

2D material property characterizations by machine-learning-assisted microscopies

Z Si, D Zhou, J Yang, X Lin - Applied Physics A, 2023 - Springer
Microscopy characterization techniques can provide intuitive images of 2D materials with
certain spatial resolutions. At the same time, machine-learning algorithms, which have …

Rapid and broad-range thickness estimation method of hexagonal boron nitride using Raman spectroscopy and optical microscope

Y Jin, Y Rah, J Park, J Shim, K Yu - Applied Physics Letters, 2020 - pubs.aip.org
Hexagonal boron nitride (hBN) has drawn great attention for its versatile applications in
electronics and photonics, and precise estimation of its thickness is critical in many …

Large area chemical vapour deposition grown transition metal dichalcogenide monolayers automatically characterized through photoluminescence imaging

T Severs Millard, A Genco, EM Alexeev… - npj 2D Materials and …, 2020 - nature.com
Chemical vapour deposition (CVD) growth is capable of producing multiple single-crystal
islands of atomically thin transition metal dichalcogenides (TMDs) over large areas …

A facile method for precise layer number identification of two-dimensional materials through optical images

J Lei, J Qu, P Wang, H Jiang, H Shi, X Sun… - Optics Communications, 2019 - Elsevier
Optical microscopy is believed to be an efficient method for identifying layer number of two-
dimensional (2D) materials. However, since illuminants, cameras and their parameters are …

Large Area Automated Characterisation of Chemical Vapour Deposition Grown Monolayer Transition Metal Dichalcogenides Through Photoluminescence Imaging

TS Millard, A Genco, EM Alexeev, S Randerson… - arXiv preprint arXiv …, 2019 - arxiv.org
CVD growth is capable of producing multiple single crystal islands of atomically thin TMDs
over large area substrates, with potential control of their morphology, lateral size, and …

Automatic 2D material detection and quantum emission prediction using deep learning-based models

F Ramezani - 2023 - scholarworks.montana.edu
The realm of quantum engineering holds immense promise for revolutionizing technological
landscapes, particularly with the advent of 2D materials in quantum device applications. The …

[引用][C] Large area chemical vapour deposition grown transition metal dichalcogenide monolayers automatically characterized through photoluminescence imaging

TS Millard, A Genco, EM Alexeev, S Randerson, S Ahn… - 2020 - Nature Publishing Group

[PDF][PDF] Determination of hBN thickness by optical contrast

T Qafko, T Larson, AM Seredinski - ASEE-NE 2022, 2022 - scholar.archive.org
Van der Waals materials are crystals that can be peeled into atomically thin layers. When a
number of different layer types stack upon one another, different physical properties appear …