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

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

6 / 6 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 201 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 55 1 0 30 Jan 2025
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 32 211 0 19 Oct 2022
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 32 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 22 39 0 26 May 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 23 21 0 26 Feb 2020