Physics-augmented Neural Compact Model for Emerging Device Technologies

@article{Kim2020PhysicsaugmentedNC,
  title={Physics-augmented Neural Compact Model for Emerging Device Technologies},
  author={Yohan Kim and Sanghoon Myung and Jisu Ryu and C. Jeong and D. Kim},
  journal={2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)},
  year={2020},
  pages={257-260}
}
  • Yohan Kim, Sanghoon Myung, +2 authors D. Kim
  • Published 2020
  • 2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
This paper proposes a novel compact modeling framework based on artificial neural networks and physics informed machine learning techniques. This physics- augmented neural compact model shows highly accurate fitting abilities and physically consistent inferences even at the unseen data. It is also scalable and technology independent, and consequently, is suitable for electrical modeling of new emerging devices. In addition, this neural compact model is able to cover both digital and analog… Expand
1 Citations

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