相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Materials swelling revealed through automated semantic segmentation of cavities in electron microscopy images
Ryan Jacobs et al.
SCIENTIFIC REPORTS (2023)
Artificial Neuron Networks Enabled Identification and Characterizations of 2D Materials and van der Waals Heterostructures
Li Zhu et al.
ACS NANO (2022)
Wafer-scale single-crystal monolayer graphene grown on sapphire substrate
Junzhu Li et al.
NATURE MATERIALS (2022)
Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies
Khuram Faraz et al.
SCIENTIFIC REPORTS (2022)
Large-scale synthesis of graphene and other 2D materials towards industrialization
Soo Ho Choi et al.
NATURE COMMUNICATIONS (2022)
Automated system for the detection of 2D materials using digital image processing and deep learning
Jesus Sanchez-Juarez et al.
OPTICAL MATERIALS EXPRESS (2022)
Modified UNet plus plus with attention gate for graphene identification by optical microscopy
Bin Yang et al.
CARBON (2022)
Deep learning object detection in materials science: Current state and future directions
Ryan Jacobs
COMPUTATIONAL MATERIALS SCIENCE (2022)
3D Deep Learning Enables Accurate Layer Mapping of 2D Materials
Xingchen Dong et al.
ACS NANO (2021)
Insights into optical detection and three-dimensional characterization of monolayer molybdenum disulfide thin films based on machine learning
Yue He et al.
APPLIED SURFACE SCIENCE (2021)
Multi defect detection and analysis of electron microscopy images with deep learning
Mingren Shen et al.
COMPUTATIONAL MATERIALS SCIENCE (2021)
Deep-learning-based semantic image segmentation of graphene field-effect transistors
Shota Ushiba et al.
APPLIED PHYSICS EXPRESS (2021)
DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
Estibaliz Gomez-de-Mariscal et al.
NATURE METHODS (2021)
Universal image segmentation for optical identification of 2D materials
Randy M. Sterbentz et al.
SCIENTIFIC REPORTS (2021)
Quantifying the CVD-grown two-dimensional materials via image clustering
Zebin Li et al.
NANOSCALE (2021)
Deep-Learning-Enabled Fast Optical Identification and Characterization of 2D Materials
Bingnan Han et al.
ADVANCED MATERIALS (2020)
Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images
James P. Horwath et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Machine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models
Ahmed Aziz Ezzat et al.
JOURNAL OF PHYSICAL CHEMISTRY C (2020)
Crowd-Sourced Data and Analysis Tools for Advancing the Chemical Vapor Deposition of Graphene: Implications for Manufacturing
Joshua A. Schiller et al.
ACS APPLIED NANO MATERIALS (2020)
Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
Satoru Masubuchi et al.
NPJ 2D MATERIALS AND APPLICATIONS (2020)
Integrating graphene into semiconductor fabrication lines
Daniel Neumaier et al.
NATURE MATERIALS (2019)
Synthesis challenges for graphene industry
Li Lin et al.
NATURE MATERIALS (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
Deep Learning and Its Applications in Biomedicine
Chensi Cao et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2018)
Green Processing of Carbon Nanomaterials
Masuki Kawamoto et al.
ADVANCED MATERIALS (2017)
Mechanical properties of graphene and graphene-based nanocomposites
Dimitrios G. Papageorgiou et al.
PROGRESS IN MATERIALS SCIENCE (2017)
Neural Network for Nanoscience Scanning Electron Microscope Image Recognition
Mohammad Hadi Modarres et al.
SCIENTIFIC REPORTS (2017)
Computational methods for the image segmentation of pigmented skin lesions: A review
Roberta B. Oliveira et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
Recent development in 2D materials beyond graphene
Ankur Gupta et al.
PROGRESS IN MATERIALS SCIENCE (2015)
Ultrathin graphene: electrical properties and highly efficient electromagnetic interference shielding
Mao-Sheng Cao et al.
JOURNAL OF MATERIALS CHEMISTRY C (2015)
Controllable Growth and Transfer of Mono layer MoS2 on Au Foils and Its Potential Application in Hydrogen Evolution Reaction
Jianping Shi et al.
ACS NANO (2014)
Determination of the Number of Graphene Layers: Discrete Distribution of the Secondary Electron Intensity Stemming from Individual Graphene Layers
Hidefumi Hiura et al.
APPLIED PHYSICS EXPRESS (2010)
Graphene: Electronic and Photonic Properties and Devices
Phaedon Avouris
NANO LETTERS (2010)
Monitoring dopants by Raman scattering in an electrochemically top-gated graphene transistor
A. Das et al.
NATURE NANOTECHNOLOGY (2008)
Mechanical properties of suspended graphene sheets
I. W. Frank et al.
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B (2007)