| 000 | 02211cam a2200457 i 4500 | ||
|---|---|---|---|
| 001 | 9780429243011 | ||
| 003 | FlBoTFG | ||
| 005 | 20220509192915.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 200928t20212021flu ob 001 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9780429243011 _qelectronic book |
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| 020 |
_a0429243014 _qelectronic book |
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_a9780429516160 _qelectronic book |
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_a0429516169 _qelectronic book |
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_a9780429512735 _qelectronic book |
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_a9780429519598 _qelectronic book |
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_a0429519591 _qelectronic book |
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| 020 |
_z9780367197360 _qhardcover |
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| 035 | _a(OCoLC)1198989124 | ||
| 035 | _a(OCoLC-P)1198989124 | ||
| 050 | 0 | 0 |
_aQH212.S34 _bS33 2021 |
| 072 | 7 |
_aTEC _x021000 _2bisacsh |
|
| 072 | 7 |
_aTGM _2bicssc |
|
| 082 | 0 | 0 |
_a570.28/25 _223 |
| 245 | 0 | 0 |
_aScanning transmission electron microscopy : _badvanced characterization methods for materials science applications / _cedited by Alina Bruma. |
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, _c2021. |
|
| 264 | 4 | _c©2021 | |
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 520 |
_a"This book focuses on explaining and applying the principles of machine learning-based techniques and advanced image processing methods currently used in the electron microscopy community suitable for handling large electron microscopy data sets and extracting structure-property information for various materials. It explains and exemplifies how to use these methods in order to interpret STEM images and extract suitable information in order to reveal material properties at the nanoscale"-- _cProvided by publisher. |
||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aScanning transmission electron microscopy _xData processing. |
|
| 650 | 7 |
_aTECHNOLOGY / Material Science _2bisacsh |
|
| 700 | 1 |
_aBruma, Alina, _eeditor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429243011 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c126274 _d126274 |
||