http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113917304-A

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filingDate 2021-10-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_271748767ae082b9a6117b11ae1a86ad
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publicationDate 2022-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113917304-A
titleOfInvention Method for rapidly identifying parasitic capacitance exceeding preset value of radiated silicon carbide vertical double-diffusion transistor
abstract The invention relates to a method for rapidly identifying the parasitic capacitance exceeding the preset value of a radiated silicon carbide vertical double-diffusion transistor, which comprises a static test platform, a sample test board, a capacitance-voltage unit module, a source measurement unit module and a computer, wherein scanning software in the computer is used for scanning the set frequency and voltage to obtain the accurate structural capacitance data of the silicon carbide vertical double-diffusion transistor, the structural capacitance data is optimized and fitted into a structural capacitance curve, the peak of the obtained structural capacitance curve is automatically removed to obtain a smoother curve, the structural capacitance curve is fitted into a transistor parasitic capacitance curve through a fixed algorithm operation, the parasitic capacitance curves of the silicon carbide vertical double-diffusion transistor obtained by the tests before and after irradiation are compared to automatically generate a difference value generated in a Miller platform region, and then, a reasonable range of the preset value is set, and if the preset value is exceeded, whether the switching performance of the device is seriously influenced or not can be quickly judged according to data accumulated in experiments. The invention has convenient and quick operation and certain universality.
priorityDate 2021-10-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 21.