Handbook on Big Data and Machine Learning in the Physical Sciences
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37

(FIVE YEARS 37)

H-INDEX

1

(FIVE YEARS 1)

Published By World Scientific

9789811204449, 9789811204531, 9789811204562, 9789811204579

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Experimental Analysis of Powder Diffraction Data

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204579_0001 ◽

2020 ◽

pp. 1-23

Author(s):

Mark Spillman ◽

Daniel Nicholls ◽

Kenneth Shankland

Keyword(s):

Powder Diffraction ◽

Diffraction Data ◽

Experimental Analysis ◽

Powder Diffraction Data

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Deep Machine Learning in Electron and Scanning Probe Microscopy

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204555_0010 ◽

2020 ◽

pp. 363-395

Author(s):

Artem Maksov ◽

Sergei V. Kalinin ◽

Rama K. Vasudevan ◽

Maxim Ziatdinov

Keyword(s):

Machine Learning ◽

Scanning Probe Microscopy ◽

Scanning Probe ◽

Probe Microscopy

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Interpreting Force Fingerprints on the Nanoscale: Machine-Aided Approaches to Atomic Force Microscopy

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204555_0008 ◽

2020 ◽

pp. 283-300

Author(s):

Matteo Chiesa ◽

Harry Apostoleris ◽

Chia-Yun Lai

Keyword(s):

Atomic Force Microscopy ◽

Force Microscopy ◽

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Scanning Probe Microscopy in the Information Age

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204555_0007 ◽

2020 ◽

pp. 231-282

Author(s):

Liam Collins ◽

Suhas Somnath ◽

Sergei V. Kalinin ◽

Alex Belianinov

Keyword(s):

Scanning Probe Microscopy ◽

Information Age ◽

Scanning Probe ◽

Probe Microscopy

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Provenance Infrastructure for Multi-modal X-ray Experiments and Reproducible Analysis

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204579_0015 ◽

2020 ◽

pp. 307-331

Author(s):

Line Pouchard ◽

Pavol Juhas ◽

Gilchan Park ◽

Huub Van Dam ◽

Stuart I. Campbell ◽

...

Keyword(s):

X Ray ◽

Reproducible Analysis

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Quantitative Multiscale Microscopy of Defects and Deformation for Application to Materials Modeling

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204555_0004 ◽

2020 ◽

pp. 127-175

Author(s):

Hojun Lim ◽

Jay D. Carroll ◽

Douglas L. Medlin ◽

Khalid Hattar

Keyword(s):

Materials Modeling

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BACK MATTER

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204579_bmatter ◽

2020 ◽

pp. 411-415

Author(s):

Kerstin Kleese van Dam ◽

Kevin G. Yager ◽

Stuart I. Campbell ◽

Richard Farnsworth ◽

Maartje van Dam ◽

...

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Cross-Cutting Software Solutions in Support of Experimental Analysis Challenges at National Scattering Facilities

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204579_0011 ◽

2020 ◽

pp. 179-187

Author(s):

Thomas Proffen ◽

Garrett E. Granroth

Keyword(s):

Experimental Analysis

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Analysis Tools for Angle Resolved and X-ray Photoemission Spectroscopy

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204579_0002 ◽

2020 ◽

pp. 25-38

Author(s):

Andrew Walter

Keyword(s):

Photoemission Spectroscopy ◽

X Ray ◽

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Dictionary-Based Indexing of Large-Scale Electron Backscatter Diffraction Datasets

Handbook on Big Data and Machine Learning in the Physical Sciences ◽

10.1142/9789811204555_0014 ◽

2020 ◽

pp. 471-500

Author(s):

S. Singh ◽

F. Ram ◽

W. Lenthe ◽

M. De Graef

Keyword(s):

Large Scale ◽

Electron Backscatter Diffraction ◽

Electron Backscatter ◽

Backscatter Diffraction

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