Compact modeling of organic FETs by artificial neural network and transfer learning
발표자
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초록
내용
We implement compact modeling and circuit design technology by utilizing the function approximation ability of artificial neural networks and artificial intelligence. In particular, we develop a current-voltage model that faithfully simulates the charge concentration, electric field, and temperature effects on mobility manifested by thermally-assisted hopping due to the energetic and spatial disorder in organic polymer thin films. This presentation demonstrates the use of a compact model as a tool to predict how devices will behave at the circuit level and quantitatively analyze experimental measurements, envisaging further improvement of next-generation semiconductor devices and ultimately facilitating their adoption in future electronic applications.