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2005.12476
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Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning
npj Computational Materials (npj Comput Mater), 2020
26 May 2020
Leslie Ching Ow Tiong
Jeongrae Kim
S. Han
Donghun Kim
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Papers citing
"Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning"
5 / 5 papers shown
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
1.0K
0
0
30 Apr 2025
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
191
4
0
23 Dec 2023
Direct Motif Extraction from High Resolution Crystalline STEM Images
A. Alhassan
Siyuan Zhang
B. Berkels
172
4
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
76
1
0
17 May 2022
Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns
npj Computational Materials (npj Comput. Mater.), 2022
Joydeep Munshi
A. Rakowski
B. Savitzky
Steven E. Zeltmann
J. Ciston
Matt Henderson
S. Cholia
A. Minor
Maria K. Y. Chan
C. Ophus
262
38
0
01 Feb 2022
1
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