Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Nguyen, Tri N. M.
Guo, Yichen
Qin, Shuyu
Frew, Kylie S.
Xu, Ruijuan
and
Agar, Joshua C.
2021.
Symmetry-aware recursive image similarity exploration for materials microscopy.
npj Computational Materials,
Vol. 7,
Issue. 1,
Bell, Cameron G.
Treder, Kevin P.
Kim, Judy S.
Schuster, Manfred E.
Kirkland, Angus I.
and
Slater, Thomas J. A.
2022.
Trainable segmentation for transmission electron microscope images of inorganic nanoparticles.
Journal of Microscopy,
Vol. 288,
Issue. 3,
p.
169.
Sytwu, Katherine
Rangel DaCosta, Luis
Groschner, Catherine
and
Scott, Mary C
2022.
Maximizing Neural Net Generalizability and Transfer Learning Success for Transmission Electron Microscopy Image Analysis in the Face of Small Experimental Datasets.
Microscopy and Microanalysis,
Vol. 28,
Issue. S1,
p.
3124.
Moreno-Hernandez, Ivan A.
Crook, Michelle F.
Jamali, Vida
and
Alivisatos, A. Paul
2022.
Recent advances in the study of colloidal nanocrystals enabled by in situ liquid-phase transmission electron microscopy.
MRS Bulletin,
Vol. 47,
Issue. 3,
p.
305.
Alrfou, Khaled
Kordijazi, Amir
Rohatgi, Pradeep
and
Zhao, Tian
2022.
Synergy of unsupervised and supervised machine learning methods for the segmentation of the graphite particles in the microstructure of ductile iron.
Materials Today Communications,
Vol. 30,
Issue. ,
p.
103174.
2022.
Principles of Electron Optics, Volume 4.
p.
2489.
Sytwu, Katherine
Groschner, Catherine
and
Scott, Mary C
2022.
Understanding the Influence of Receptive Field and Network Complexity in Neural Network-Guided TEM Image Analysis.
Microscopy and Microanalysis,
Vol. 28,
Issue. 6,
p.
1896.
Rickert, Carolin A.
and
Lieleg, Oliver
2022.
Machine learning approaches for biomolecular, biophysical, and biomaterials research.
Biophysics Reviews,
Vol. 3,
Issue. 2,
Jacobs, Ryan
2022.
Deep learning object detection in materials science: Current state and future directions.
Computational Materials Science,
Vol. 211,
Issue. ,
p.
111527.
Lewis, Nicholas R.
Jin, Yicheng
Tang, Xiuyu
Shah, Vidit
Doty, Christina
Matthews, Bethany E.
Akers, Sarah
and
Spurgeon, Steven R.
2022.
Forecasting of in situ electron energy loss spectroscopy.
npj Computational Materials,
Vol. 8,
Issue. 1,
Williamson, Emily M.
Ghrist, Aaron M.
Karadaghi, Lanja R.
Smock, Sara R.
Barim, Gözde
and
Brutchey, Richard L.
2022.
Creating ground truth for nanocrystal morphology: a fully automated pipeline for unbiased transmission electron microscopy analysis.
Nanoscale,
Vol. 14,
Issue. 41,
p.
15327.
Bruefach, Alexandra
Ophus, Colin
and
Scott, Mary C
2022.
Analysis of Interpretable Data Representations for 4D-STEM Using Unsupervised Learning.
Microscopy and Microanalysis,
Vol. 28,
Issue. 6,
p.
1998.
Basak, Shibabrata
Dzieciol, Krzysztof
Durmus, Yasin Emre
Tempel, Hermann
Kungl, Hans
George, Chandramohan
Mayer, Joachim
and
Eichel, Rüdiger-A.
2022.
Characterizing battery materials and electrodes via in situ/operando transmission electron microscopy.
Chemical Physics Reviews,
Vol. 3,
Issue. 3,
Lu, Shizhao
Montz, Brian
Emrick, Todd
and
Jayaraman, Arthi
2022.
Semi-supervised machine learning workflow for analysis of nanowire morphologies from transmission electron microscopy images.
Digital Discovery,
Vol. 1,
Issue. 6,
p.
816.
Gumbiowski, Nina
Loza, Kateryna
Heggen, Marc
and
Epple, Matthias
2023.
Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning.
Nanoscale Advances,
Vol. 5,
Issue. 8,
p.
2318.
Treder, Kevin P.
Huang, Chen
Bell, Cameron G.
Slater, Thomas J. A.
Schuster, Manfred E.
Özkaya, Doğan
Kim, Judy S.
and
Kirkland, Angus I.
2023.
nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems.
npj Computational Materials,
Vol. 9,
Issue. 1,
Zhang, Pinyang
and
Chen, Changzheng
2023.
A Two-Stage Framework for Time-Frequency Analysis and Fault Diagnosis of Planetary Gearboxes.
Applied Sciences,
Vol. 13,
Issue. 8,
p.
5202.
Fiedler, Kevin R
Olszta, Matthew J
Yano, Kayla H
Doty, Christina
Hopkins, Derek
Akers, Sarah
and
Spurgeon, Steven R
2023.
Evaluating Stage Motion for Automated Electron Microscopy.
Microscopy and Microanalysis,
Vol. 29,
Issue. 6,
p.
1931.
2023.
In‐Situ Transmission Electron Microscopy Experiments.
p.
285.
Zhang, Pinyang
and
Chen, Changzheng
2023.
Time–Frequency Analysis for Planetary Gearbox Fault Diagnosis Based on Improved U-Net++.
Journal of Failure Analysis and Prevention,
Vol. 23,
Issue. 3,
p.
1068.