$Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning$

Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning

26 May 2020

Leslie Ching Ow Tiong

Papers citing "Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep 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 163 0 0 30 Apr 2025
$Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning$ Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning Gabriel Guo Judah Goldfeder Ling Lan Aniv Ray Albert Hanming Yang Boyuan Chen S. Billinge Hod Lipson 35 3 0 23 Dec 2023
Direct Motif Extraction from High Resolution Crystalline STEM Images A. Alhassan Siyuan Zhang B. Berkels 22 3 0 13 Mar 2023
Predicting failure characteristics of structural materials via deep learning based on nondestructive void topology Leslie Ching Ow Tiong Gunjick Lee S. Sohn Donghun Kim AI4CE 14 1 0 17 May 2022
$Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns$ Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns Joydeep Munshi A. Rakowski B. Savitzky Steven E. Zeltmann J. Ciston Matt Henderson S. Cholia A. Minor Maria K. Y. Chan C. Ophus 18 27 0 01 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015