Statistical Methods for Materials Science
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Published By CRC Press

9781315121062
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Denoising Methods with Applications to Microscopy

2019 ◽  
pp. 361-386
Author(s):  
Rebecca Willett

Anomalies in Microstructures

2019 ◽  
pp. 339-356
Author(s):  
Stephen Bricker ◽  
Craig Przybyla ◽  
Jeffrey P. Simmons ◽  
Russell Hardie

Markov Random Fields for Microstructure Simulation

2019 ◽  
pp. 275-290
Author(s):  
Veera Sundararaghavan
Keyword(s):  
Random Fields ◽  
Markov Random Fields ◽  
Microstructure Simulation ◽  
Markov Random

Topological Analysis of Local Structure in Atomic Systems

2019 ◽  
pp. 259-274
Author(s):  
Emanuel A. Lazar ◽  
David J. Srolovitz
Keyword(s):  
Local Structure ◽  
Topological Analysis ◽  
Atomic Systems

Materials Science vs. Data Science

2019 ◽  
pp. 3-12
Author(s):  
Jeffrey P. Simmons ◽  
Lawrence F. Drummy ◽  
Charles A. Bouman ◽  
Marc De Graef
Keyword(s):  
Data Science ◽  
Materials Science

Sparse Sampling in Microscopy

2019 ◽  
pp. 419-438
Author(s):  
Kurt Larson ◽  
Hyrum Anderson ◽  
Jason Wheeler
Keyword(s):  
Sparse Sampling

Dictionary Methods for Compressed Sensing: Framework for Microscopy

2019 ◽  
pp. 407-418
Author(s):  
Saiprasad Ravishankar ◽  
R. Rao Nadakuditi
Keyword(s):  
Compressed Sensing

Compressed Sensing Theory and Algorithms for Imaging Applications

2019 ◽  
pp. 387-406
Author(s):  
Justin Romberg
Keyword(s):  
Compressed Sensing

Anomaly Testing

2019 ◽  
pp. 323-338 ◽  
Author(s):  
James Theiler
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