arXiv Machine Learning
Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
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AI and TCAD for Inverse Design and Defect Discovery: From Simple Machine Learning to LLM
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Rapid FinFET Modelling Using an Autoencoder
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PRISM-UDE: Physics-Regularized Iterative Symbolic Modeling of 3nm FinFETs via Universal Differential Equation
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PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery
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Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
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Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
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