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AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy
  Data in (Scanning) Transmission Electron Microscopy and Beyond

AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

16 May 2021
M. Ziatdinov
Ayana Ghosh
Tommy Wong
Sergei V. Kalinin
ArXivPDFHTML

Papers citing "AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond"

9 / 9 papers shown
Title
Defect Detection in Photolithographic Patterns Using Deep Learning Models Trained on Synthetic Data
Defect Detection in Photolithographic Patterns Using Deep Learning Models Trained on Synthetic Data
Prashant P. Shinde
Priyadarshini P. Pai
Shashishekar P. Adiga
K. Subramanya Mayya
Yongbeom Seo
Myungsoo Hwang
Heeyoung Go
C. P
17
0
0
15 May 2025
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron
  Micrograph Segmentation
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation
Waqwoya Abebe
Jan Strube
Luanzheng Guo
Nathan R. Tallent
Oceane Bel
Steven Spurgeon
Christina Doty
Ali Jannesari
28
1
0
09 Apr 2024
Detecting Atomic Scale Surface Defects in STM of TMDs with Ensemble Deep
  Learning
Detecting Atomic Scale Surface Defects in STM of TMDs with Ensemble Deep Learning
Darian Smalley
S. Lough
Luke N. Holtzman
Kaikui Xu
Madisen Holbrook
M. Rosenberger
J. Hone
K. Barmak
M. Engineering
11
0
0
08 Dec 2023
Towards Lightweight Data Integration using Multi-workflow Provenance and
  Data Observability
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Renan Souza
Tyler J. Skluzacek
Sean R. Wilkinson
M. Ziatdinov
Rafael Ferreira da Silva
AI4CE
21
6
0
17 Aug 2023
Combining Variational Autoencoders and Physical Bias for Improved
  Microscopy Data Analysis
Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis
Arpan Biswas
M. Ziatdinov
Sergei V. Kalinin
13
5
0
08 Feb 2023
Towards Augmented Microscopy with Reinforcement Learning-Enhanced
  Workflows
Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows
Michael Xu
Abinash Kumar
J. Lebeau
16
7
0
04 Aug 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
DRL
19
10
0
30 Jun 2022
Performing Video Frame Prediction of Microbial Growth with a Recurrent
  Neural Network
Performing Video Frame Prediction of Microbial Growth with a Recurrent Neural Network
Connor Robertson
J. Wilmoth
S. Retterer
M. Fuentes-Cabrera
19
2
0
12 May 2022
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
30
16
0
30 Sep 2021
1