en 2-VLSI VLSI Research Paper Research Paper <span lang="EN-IN" style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Physics-informed neural networks (PINNs) offer a promising route to bridge device-level simulations and compact circuit models. In this work, we present a hybrid modeling framework that integrates TCAD datasets with a baseline compact model and applies a PINN correction to capture stress-condition effects with high fidelity. The proposed approach achieves &le; 2% route mean square error (RMSE) across more than 2,000 bias points, maintaining stable predictions under temperature (273&ndash;373 K) and radiation (0&ndash;100 krad) variations. Extracted Berkeley Short-channel IGFET Model (BSIM) parameters enable direct SPICE simulation, ensuring compatibility with standard circuit design workflows. For deployment, the trained PINN is exported as a quantized ONNX model, achieving sub-millisecond inference and ultra-low energy consumption (0.25 pJ/op) on a Cortex-M55 platform. This dual pathway supports both high-accuracy circuit simulation and real-time edge inference, making it suitable for embedded applications under constrained conditions. Comparative analysis with recent ANN-based models confirms that our physics-informed approach offers superior interpretability, SPICE readiness, and deployment efficiency. All datasets, code, and models are released to support reproducibility, benchmarking, and further research in compact modeling and edge-AI integration.</span></span> Physics informed neural network, Compact model, SPICE, ONNX quantization, Edge-AI. 119 135 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-6009-1&slc_lang=en&sid=1 Balamanikandan A balamanikandan.a@mbu.asia 1800319475328460017720 1800319475328460017720 Yes Department of Electronics and Communication Engineering, Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College), Tirupati, India. Venkataramanaiah N nvr.personal@gmail.com 1800319475328460017721 1800319475328460017721 No Department of Electronics and Communication engineering, Audisankara (Deemed to be university) (Erstwhile Audisankara College of Engineering & Technology), Gudur, India. Sukanya M sukanyavisagan@gmail.com 1800319475328460017722 1800319475328460017722 No Department of Electrical and Electronics Engineering, Adhiyamaan College of Engineering, Hosur, India. Sudhakar Reddy N sudhakar1784@gmail.com 1800319475328460017723 1800319475328460017723 No Department of Electronics and Communication Engineering, Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College), Tirupati, India. Gomathy G gomathy.paul@gmail.com 1800319475328460017724 1800319475328460017724 No Department of Electrical and Electronics Engineering, Jaya Engineering college, Thiruninravur, India. Venkatachalam K venkatmek12@gmail.com 1800319475328460017725 1800319475328460017725 No Department of Electronics and Communication engineering, Audisankara (Deemed to be university) (Erstwhile Audisankara College of Engineering & Technology), Gudur, India.