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Deep-learning-based prediction of nanoparticle phase transitions during
  in situ transmission electron microscopy

Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy

23 May 2022
W. Fu
Steven Spurgeon
Chongmin Wang
Yuyan Shao
Wei Wang
A. Peles
ArXiv (abs)PDFHTML

Papers citing "Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy"

9 / 9 papers shown
Title
An Automated Scanning Transmission Electron Microscope Guided by Sparse
  Data Analytics
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
M. Olszta
Derek Hopkins
K. Fiedler
Marjolein Oostrom
Sarah Akers
Steven Spurgeon
59
17
0
30 Sep 2021
Design of a Graphical User Interface for Few-Shot Machine Learning
  Classification of Electron Microscopy Data
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
Christina Doty
Shaun Gallagher
Wenqi Cui
Wenya Chen
Shweta Bhushan
Marjolein Oostrom
Sarah Akers
Steven Spurgeon
29
19
0
21 Jul 2021
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
92
255
0
10 Apr 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CEPINN
155
291
0
03 Mar 2020
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity
  and Temporal-Consistency Video Prediction
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
Beibei Jin
Yu Hu
Qiankun Tang
Jingyu Niu
Zhiping Shi
Yinhe Han
Xiaowei Li
49
96
0
23 Feb 2020
Deep Learning for Physical Processes: Incorporating Prior Scientific
  Knowledge
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bézenac
Arthur Pajot
Patrick Gallinari
PINNAI4CE
107
318
0
21 Nov 2017
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
80
1,047
0
23 May 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
568
8,007
0
13 Jun 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
148
2,593
0
16 Feb 2015
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