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Physics-augmented Neural Compact Model for Emerging Device Technologies
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 highlyExpand
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Artificial Neural Network-Based Compact Modeling Methodology for Advanced Transistors
The artificial neural network (ANN)-based compact modeling methodology is evaluated in the context of advanced field-effect transistor (FET) modeling for Design-Technology-Cooptimization (DTCO) andExpand
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A Novel Approach for Semiconductor Etching Process with Inductive Biases
We introduce the state-of-the-art deep learning model to predict the etching profiles for semiconductor etching process. Expand
Real-Time TCAD: a new paradigm for TCAD in the artificial intelligence era
This paper presents a novel approach to enable real-time device simulation and optimization. Expand