nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems
We describe nNPipe for the automated analysis of morphologically diverse catalyst materials. Automated imaging routines and direct-electron detectors have enabled the collection of large data stacks over a wide range of sample positions at high temporal resolution. Simultaneously, traditional image...
| 主要な著者: | , , , , , , , |
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
Springer Nature
2023
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