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The Eigenvector Etch Data Parse is developed to read Matlab data files. The parse reads each file and converts the calibration data (sensor data) and test data (sensor data) into a single DataFrame. The parse introduced an additional field in the data 'fault_name', which helps the user identify the normal/calibration wafers and test wafers(with defects). We tested the parser in Python3 environments only; if you are looking for Python2 compatibility, please test and create a bug/pull request as applicable. The source code is released under Apache 2.0 license and is available at https://github.com/jaganadhg/egvsemicon.
Microfabrication, Semiconductor, Micro-fabrication, Data Science, Data Mining, Micro Nano Fabrication, Wafer Etching
Microfabrication, Semiconductor, Micro-fabrication, Data Science, Data Mining, Micro Nano Fabrication, Wafer Etching
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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