6 papers
Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
Yuang Peng, Jiarui Zhong, Yang Zhang +1
Parameter extraction for industry-standard device models like ASM-HEMT is crucial in circuit design workflows. However, many manufacturers do not provide such models, leaving users…
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs
Zenghui Chang, Yang Zhang, Hu Tan +1
Nonlinear dynamics system identification is crucial for circuit emulation. Traditional continuous-time domain modeling approaches have limitations in fitting capability and computa…
D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models
Hong Cai Chen, Yi Pin Xu, Yang Zhang
In electronic design, engineers often manually search through extensive documents to retrieve component parameters required for constructing SPICE models, a process that is both la…
Neural Network Graph Similarity Computation Based on Graph Fusion
Zenghui Chang, Yiqiao Zhang, Hong Cai Chen
Graph similarity learning, crucial for tasks such as graph classification and similarity search, focuses on measuring the similarity between two graph-structured entities. The core…
EDocNet: Efficient Datasheet Layout Analysis Based on Focus and Global Knowledge Distillation
Hong Cai Chen, Longchang Wu, Yang Zhang
When designing circuits, engineers obtain the information of electronic devices by browsing a large number of documents, which is low efficiency and heavy workload. The use of arti…
DocEDA: Automated Extraction and Design of Analog Circuits from Documents with Large Language Model
Hong Cai Chen, Longchang Wu, Ming Gao +3
Efficient and accurate extraction of electrical parameters from circuit datasheets and design documents is critical for accelerating circuit design in Electronic Design Automation…