AtomVision: A Machine Vision Library for Atomistic Images-Reference-Cited by-同舟云学术

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AtomVision: A Machine Vision Library for Atomistic Images

Published:2023-03-01 Issue:6 Volume:63 Page:1708-1722
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Choudhary Kamal¹^ORCID,Gurunathan Ramya¹,DeCost Brian¹^ORCID,Biacchi Adam²^ORCID

Affiliation:

1. Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States

2. Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States

Funder

National Institute of Standards and Technology

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01533

Reference89 articles.

1. ImageNet classification with deep convolutional neural networks

2. DeepFace: Closing the Gap to Human-Level Performance in Face Verification

3. Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis

4. Recent advances and applications of deep learning methods in materials science

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