Graph convolutional network for predicting abnormal grain growth in
Monte Carlo simulations of microstructural evolution

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Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

18 October 2021

Elizabeth A. Holm

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Papers citing "Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution"

8 / 8 papers shown

Title
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data R. Cohn Elizabeth A. Holm 46 64 0 16 Jul 2020
Overview: Computer vision and machine learning for microstructural characterization and analysis Elizabeth A. Holm R. Cohn Nan Gao Andrew R. Kitahara Thomas P. Matson Bo Lei Srujana Rao Yarasi 57 163 0 28 May 2020
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 256 86 0 12 Sep 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,179 0 19 Feb 2019
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014

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