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1 Ergebnisse
1
Physics-Informed Graph Neural Network for Circuit Compact M..:
, In:
2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
,
Gao, Xujiao
;
Huang, Andy
;
Trask, Nathaniel
. - p. 359-362 , 2020
Link:
https://doi.org/10.23919/SISPAD49475.2020.9241634
RT T1 <cTitle>2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)</cTitle>: T1 <Title>Physics-Informed Graph Neural Network for Circuit Compact Model Development</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9241634&Exemplar=1&LAN=DE A1 Gao, Xujiao A1 Huang, Andy A1 Trask, Nathaniel A1 Reza, Shahed YR 2020 SN 1946-1577 K1 Analytical models K1 Artificial neural networks K1 Data models K1 Semiconductor process modeling K1 Semiconductor diodes K1 Integrated circuit modeling K1 Physics K1 physics informed graph neural network (pigNN) K1 compact model development K1 topological data analysis (TDA) K1 TCAD K1 non-ideality factor K1 Shockley-Read-Hall SP 359 OP 362 LK http://dx.doi.org/https://doi.org/10.23919/SISPAD49475.2020.9241634 DO https://doi.org/10.23919/SISPAD49475.2020.9241634 SF ELIB - SuUB Bremen
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