Paradigm shift in electron-based crystallography via machine learning

Paradigm shift in electron-based crystallography via machine learning

10 February 2019

Alexander S. Rosengarten

Daniel Maryanovsky

Tyler J. Harrington

ArXiv (abs)PDF HTML

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

13 / 13 papers shown

Title
Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations Alfred Yan Muhammad Nur Talha Kilic Gert Nolze Ankit Agrawal Alok Ratan Choudhary Roberto dos Reis Vinayak Dravid 420 0 0 30 Apr 2025
$Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features$ 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 117 1 0 30 Jan 2025
CrystalX: Ultra-Precision Crystal Structure Resolution and Error Correction Using Deep Learning Kaipeng Zheng Weiran Huang Wanli Ouyang Han-Sen Zhong Yuezun Li 55 0 0 17 Oct 2024
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images Abid Khan Chia-Hao Lee Pinshane Y. Huang B. Clark GAN MedIm 57 26 0 18 Jan 2023
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 94 236 0 19 Oct 2022
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images Arun Baskaran Yulin Lin J. Wen Maria K. Y. Chan UQCV 41 0 0 05 Sep 2022
$STEM image analysis based on deep learning: identification of vacancy defects and polymorphs of ${MoS_2}$$ STEM image analysis based on deep learning: identification of vacancy defects and polymorphs of ${MoS_2}$ Kihyun Lee Jinsub Park Soyeon Choi Yangjin Lee Sol Lee ... Farman Ullah Z. Tahir Yong Soo Kim Gwan‐Hyoung Lee Kwanpyo Kim 28 30 0 09 Jun 2022
Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure Ruiqi Mao Rongxin Cui GNN 117 0 0 17 Nov 2021
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art Jianjun Hu Stanislav Stefanov Yuqi Song Sadman Sadeed Omee Steph-Yves M. Louis Edirisuriya M Dilanga Siriwardane Yong Zhao 83 33 0 09 Sep 2021
A community-powered search of machine learning strategy space to find NMR property prediction models Lars A. Bratholm W. Gerrard Brandon M. Anderson Shaojie Bai Sunghwan Choi ... A. Torrubia Devin Willmott C. Butts David R. Glowacki Kaggle participants 46 16 0 13 Aug 2020
$Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning$ Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning Leslie Ching Ow Tiong Jeongrae Kim S. Han Donghun Kim 47 39 0 26 May 2020
Intelligent multiscale simulation based on process-guided composite database Zeliang Liu Haoyan Wei Tianyu Huang C. T. Wu SyDa AI4CE 18 18 0 20 Mar 2020
Machine Learning based prediction of noncentrosymmetric crystal materials Yuqi Song Joseph Lindsay Yong Zhao Alireza Nasiri Steph-Yves M. Louis Jie Ling Ming Hu Jianjun Hu 79 22 0 26 Feb 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.