TCAD Device Simulation with Graph Neural Network
There is an increasing number of studies to accelerate the TCAD simulation with deep learning models. Such studies rely on performing a procedure that interpolates an unstructured mesh into a structured mesh. This procedure, however, incurs intrinsic errors and redundant computation. To avoid this u...
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| Veröffentlicht in: | IEEE electron device letters 2023-08, Vol.44 (8), p.1-1 |
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| container_title | IEEE electron device letters |
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| creator | Jang, Wonik Myung, Sanghoon Choe, Jae Myung Kim, Young-Gu Kim, Dae Sin |
| description | There is an increasing number of studies to accelerate the TCAD simulation with deep learning models. Such studies rely on performing a procedure that interpolates an unstructured mesh into a structured mesh. This procedure, however, incurs intrinsic errors and redundant computation. To avoid this unnecessary procedure, this letter proposes a new method that can treat unstructured mesh itself to mimic TCAD device simulation. The method is to convert the unstructured mesh into a graph and then, directly applies a novel graph neural network (MHAT-GNN). In 45nm process, the proposed method outperforms pre-existing methods in terms of accuracy and efficiency. |
| doi_str_mv | 10.1109/LED.2023.3290930 |
| format | Article |
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| subjects | <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Affine Transformation <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Graph Neural Network (GNN) <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Mesh <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Multi-hops <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">TCAD simulation Computational modeling Finite element method Graph neural networks Interpolation Logic gates Machine learning Predictive models Simulation Spread spectrum communication Transforms |
| title | TCAD Device Simulation with Graph Neural Network |
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