Physics-augmented Neural Compact Model for Emerging Device Technologies-Reference-Cited by-同舟云学术

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Physics-augmented Neural Compact Model for Emerging Device Technologies

Published:2020-09-23 Issue: Volume: Page:
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Container-title:2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
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Author:

Kim Yohan,Myung Sanghoon,Ryu Jisu,Jeong Changwook,Kim Dae Sin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9241573/9241588/09241638.pdf?arnumber=9241638

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Neural Network-Based Transistor Compact Model Including Self-Heating;IEEE Electron Device Letters;2024-08

2. Knowledge-Guided Neural Network based Nonlinear Current Model with Combined Loss Function;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

3. Artificial neural network-based solution for PSP MOSFET model card extraction;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06

4. Enhancing Interpretability of Neural Compact Models: Toward Reliable Device Modeling;IEEE Journal of the Electron Devices Society;2024

5. A Knowledge-Guided Neural Network-Based Large-Signal Model for InP HBTs With Self-Heating Effect Consideration;IEEE Transactions on Microwave Theory and Techniques;2024

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