6 papers
TARGet: Topology-Aware Fusion-based Radio Frequency Circuit Functional Modeling using Graph Neural Networks
Soroosh Noorzad, Sebastian Bodero, Morteza Fayazi
Automatic synthesis of analog and Radio Frequency (RF) circuits is an emerging area that requires an efficient circuit modeling method. In recent years, Machine Learning (ML) solut…
AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models
Mohammed Ayman Habib, Rylan Hart, Morteza Fayazi
Analog circuit design is a time-consuming, iterative process in a nonlinear and high-dimensional design space that relies heavily on expert intuition. Among recent developments, LL…
ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration
Osei Brempong, Mohammed Ayman Habib, Vivan Poddar +1
Analog circuit design automation using reinforcement learning (RL) has emerged as a promising approach for reducing manual effort. However, many existing RL-based methods focus on…
SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
Saoud Aldowaish, Yashwanth Karumanchi, Kai-Chen Chiang +4
Recent advances in Artificial Intelligence (AI) have revolutionized Electronic Design Automation (EDA), particularly through Large Language Models (LLMs) for circuit design tasks.…
SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence
Saoud Aldowaish, Yashwanth Karumanchi, Kai-Chen Chiang +2
Current methods for converting circuit schematic images into machine-readable netlists struggle with component recognition and connectivity inference. In this paper, we present SIN…
MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation
Pravallika Abbineni, Saoud Aldowaish, Colin Liechty +3
Conducting a comprehensive literature review is crucial for advancing circuit design methodologies. However, the rapid influx of state-of-the-art research, inconsistent data repres…