Paradigm shift in electron-based crystallography via machine learning

10 February 2019

Papers citing "Paradigm shift in electron-based crystallography via machine learning"

7 / 7 papers shown

Title
$Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features$ Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features Mathieu Calvat Chris Bean Dhruv Anjaria Hyoungryul Park Haoren Wang Kenneth Vecchio J.C. Stinville AI4CE 87 1 0 30 Jan 2025
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 42 143 0 04 May 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 312 20,023 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,575 0 07 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014