Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor

10.1021/acsanm.0c03283

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Main Authors: UTKARSH ANAND, TANMAY GHOSH, ZAINUL AABDIN, Nandi Vrancken, YAN HONGWEI, XiuMei Xu, Frank Holsteyns, UTKUR MIRZIYODOVICH MIRSAIDOV
Other Authors: BIOLOGICAL SCIENCES
Format: Article
Published: ACS Applied Nano Materials 2021
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/187520
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1875202024-05-14T02:03:01Z Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor UTKARSH ANAND TANMAY GHOSH ZAINUL AABDIN Nandi Vrancken YAN HONGWEI XiuMei Xu Frank Holsteyns UTKUR MIRZIYODOVICH MIRSAIDOV BIOLOGICAL SCIENCES DEPT OF PHYSICS liquid-phase TEM machine learning nanofabrication nanostructures pattern collapse 10.1021/acsanm.0c03283 ACS Applied Nano Materials 2021-03-23T06:24:40Z 2021-03-23T06:24:40Z 2021-03-09 Article UTKARSH ANAND, TANMAY GHOSH, ZAINUL AABDIN, Nandi Vrancken, YAN HONGWEI, XiuMei Xu, Frank Holsteyns, UTKUR MIRZIYODOVICH MIRSAIDOV (2021-03-09). Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor. ACS Applied Nano Materials. ScholarBank@NUS Repository. https://doi.org/10.1021/acsanm.0c03283 25740970 https://scholarbank.nus.edu.sg/handle/10635/187520 ACS Applied Nano Materials
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic liquid-phase TEM
machine learning
nanofabrication
nanostructures
pattern collapse
spellingShingle liquid-phase TEM
machine learning
nanofabrication
nanostructures
pattern collapse
UTKARSH ANAND
TANMAY GHOSH
ZAINUL AABDIN
Nandi Vrancken
YAN HONGWEI
XiuMei Xu
Frank Holsteyns
UTKUR MIRZIYODOVICH MIRSAIDOV
Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
description 10.1021/acsanm.0c03283
author2 BIOLOGICAL SCIENCES
author_facet BIOLOGICAL SCIENCES
UTKARSH ANAND
TANMAY GHOSH
ZAINUL AABDIN
Nandi Vrancken
YAN HONGWEI
XiuMei Xu
Frank Holsteyns
UTKUR MIRZIYODOVICH MIRSAIDOV
format Article
author UTKARSH ANAND
TANMAY GHOSH
ZAINUL AABDIN
Nandi Vrancken
YAN HONGWEI
XiuMei Xu
Frank Holsteyns
UTKUR MIRZIYODOVICH MIRSAIDOV
author_sort UTKARSH ANAND
title Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
title_short Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
title_full Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
title_fullStr Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
title_full_unstemmed Deep Learning-Based High Throughput Inspection in 3D Nanofabrication and Defect Reversal in Nanopillar Arrays: Implications for Next Generation Transistor
title_sort deep learning-based high throughput inspection in 3d nanofabrication and defect reversal in nanopillar arrays: implications for next generation transistor
publisher ACS Applied Nano Materials
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/187520
_version_ 1800914777890881536