Using Graph Attention Network to Reversely Design GaN MIS-HEMTs Based on Hand-Drawn Characteristics
In this work, the methodology using Graph Attention Network (GAT) for the reserve design in GaN power MIS-HEMTs based on hand-drawn characteristics is demonstrated for the first-time. The hand-drawn I<sub>D</sub>-V<sub>G</sub> characteristic is constructed by Ramer-Douglas-Peucker algorithm. Then, t...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2023-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10176142/ |
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