Real-Time TCAD: a new paradigm for TCAD in the artificial intelligence era-Reference-Cited by-同舟云学术

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Real-Time TCAD: a new paradigm for TCAD in the artificial intelligence era

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

Myung Sanghoon,Kim Jinwoo,Jeon Yongwoo,Jang Wonik,Huh In,Kim Jaemin,Han Songyi,Baek Kang-hyun,Ryu Jisu,Kim Yoon-Suk,Doh Jiseong,Kim Jae-ho,Jeong Changwook,Kim Dae Sin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9241573/9241588/09241622.pdf?arnumber=9241622

Cited by 11 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. ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML;2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD);2023-09-10

2. Physics-Integrated Machine Learning for Efficient Design and Optimization of a Nanoscale Carbon Nanotube Field-Effect Transistor;ECS Journal of Solid State Science and Technology;2023-09-01

3. TCAD Device Simulation With Graph Neural Network;IEEE Electron Device Letters;2023-08

4. A Physics-Informed Automatic Neural Network Generation Framework for Emerging Device Modeling;Micromachines;2023-05-29

5. Real-Time Optimization Design of GAAFETs Based on Machine Learning Method;2023 International Symposium of Electronics Design Automation (ISEDA);2023-05-08

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