Tcad
PulseAugur coverage of Tcad — every cluster mentioning Tcad across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI agent automates TCAD calibration for oxide transistors
Researchers have developed an agentic workflow that uses an LLM to automate the calibration of TCAD (Technology Computer-Aided Design) models for oxide semiconductor transistors. This new method significantly speeds up …
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AI and LLMs integrated with TCAD for semiconductor design
A new paper explores the integration of AI, including machine learning and large language models (LLMs), with Technology Computer-Aided Design (TCAD) for semiconductor device design and defect discovery. The research de…
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New GAT Surrogate Accelerates FinFET Device Simulation
Researchers have developed a novel physics-informed graph attention network (GAT) surrogate that operates directly on TCAD meshes to simulate FinFET device behavior. This approach predicts electrostatic potential and ca…
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New Physics-Guided Diffusion Model Enhances TCAD Device Simulation
Researchers have developed PCGD, a novel Physics-Guided Conditional Graph Diffusion framework designed for TCAD device simulation. This method operates directly on unstructured TCAD meshes to predict coupled electrostat…
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AI must integrate physics for semiconductor design, paper argues
A new perspective paper proposes that generative AI models used in semiconductor manufacturing must be designed with physics principles integrated from the start, rather than relying on post-hoc filtering. The paper sur…
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AI model accelerates ferroelectric NAND retention analysis over 10000x faster than TCAD
Researchers have developed a novel Physics-Informed Neural Operator (PINO) model to accelerate the analysis of data retention in ferroelectric vertical NAND (Fe-VNAND) flash memory. This AI surrogate model integrates fu…