1 citations · 2 across the 4 of their papers we have counts for
4 papers
AgenticTCAD: A LLM-based Multi-Agent Framework for Automated TCAD Code Generation and Device Optimization
Guangxi Fan, Tianliang Ma, Xuguang Sun +3
With the continued scaling of advanced technology nodes, the design-technology co-optimization (DTCO) paradigm has become increasingly critical, rendering efficient device design a…
Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks
Tianliang Ma, Guangxi Fan, Xuguang Sun +3
This paper proposes a fast system technology co-optimization (STCO) framework that optimizes power, performance, and area (PPA) for next-generation IC design, addressing the challe…
Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks
Tianliang Ma, Guangxi Fan, Zhihui Deng +3
Design technology co-optimization (DTCO) plays a critical role in achieving optimal power, performance, and area (PPA) for advanced semiconductor process development. Cell library…
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks
Guangxi Fan, Leilai Shao, Kain Lu Low
An innovative methodology that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-base…