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Total Size:
14.0 MB
Info Hash:
ECBC4FE041C5494D19E475A953E6DC874F78D4EB
Added By:
Added:
Sept. 2, 2025, 8:57 a.m.
Stats:
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(Last updated: Sept. 2, 2025, 9:04 a.m.)
| File | Size |
|---|---|
| Gupta N. Machine Learning for Semiconductor Materials 2025.pdf | 14.0 MB |
Name
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146.5 MB
[16
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47]
2025-06-30
| Uploaded by andryold1 | Size 146.5 MB | Health [ 16 /47 ] | Added 2025-06-30 |
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34.2 MB
[26
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2023-07-01
| Uploaded by indexFroggy | Size 34.2 MB | Health [ 26 /5 ] | Added 2023-07-01 |
NOTE
SOURCE: Gupta N. Machine Learning for Semiconductor Materials 2025
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COVER

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MEDIAINFO
Textbook in PDF format Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials
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