Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. - Tutu Ajayi; Vidya A. Chhabria; Mateus Fogaça; Soheil Hashemi; Abdelrahman Hosny; Andrew B. Kahng; Minsoo Kim; Jeongsup Lee; Uday Mallappa; Marina Neseem; Geraldo Pradipta; Sherief Reda; et al. (DAC, 2019)

Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs. - Vidya A. Chhabria; Sachin S. Sapatnekar (ISQED, 2019)

Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques. - Vidya A. Chhabria; Andrew B. Kahng; Minsoo Kim; Uday Mallappa; Sachin S. Sapatnekar; Bangqi Xu (ASP-DAC, 2020)

MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. - Vidya A. Chhabria; Yanqing Zhang 002; Haoxing Ren; Ben Keller; Brucek Khailany; Sachin S. Sapatnekar (CoRR, 2020)

Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. - Vidya A. Chhabria; Vipul Ahuja; Ashwath Prabhu; Nikhil Patil; Palkesh Jain; Sachin S. Sapatnekar (ASP-DAC, 2021)

A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. - Mohammad Abdullah Al Shohel; Vidya A. Chhabria; Sachin S. Sapatnekar (DAC, 2021)

MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. - Vidya A. Chhabria; Yanqing Zhang 002; Haoxing Ren; Ben Keller; Brucek Khailany; Sachin S. Sapatnekar (DATE, 2021)

BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology. - Vidya A. Chhabria; Kishor Kunal; Masoud Zabihi; Sachin S. Sapatnekar (ICCAD, 2021)

Analytical Modeling of Transient Electromigration Stress based on Boundary Reflections. - Mohammad Abdullah Al Shohel; Vidya A. Chhabria; Nestor E. Evmorfopoulos; Sachin S. Sapatnekar (ICCAD, 2021)

A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects. - Mohammad Abdullah Al Shohel; Vidya A. Chhabria; Sachin S. Sapatnekar (CoRR, 2021)

From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction. - Vidya A. Chhabria; Wenjing Jiang; Andrew B. Kahng; Sachin S. Sapatnekar (MLCAD, 2022)

XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. - Vidya A. Chhabria; Ben Keller; Yanqing Zhang 002; Sandeep Vollala; Sreedhar Pratty; Haoxing Ren; Brucek Khailany (MLCAD, 2022)

OpeNPDN: A Neural-Network-Based Framework for Power Delivery Network Synthesis. - Vidya A. Chhabria; Sachin S. Sapatnekar (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. - Zhenyu Wang; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Jae-Sun Seo; Chaitali Chakrabarti; Ümit Y. Ogras; Vidya A. Chhabria; Yu Cao 001 (ASICON, 2023)

Invited Paper: 2023 ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning. - Gana Surya Prakash Kadagala; Vidya A. Chhabria (ICCAD, 2023)

Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. - Rongjian Liang; Anthony Agnesina; Geraldo Pradipta; Vidya A. Chhabria; Haoxing Ren (ICCAD, 2023)

Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. - Mohammad Abdullah Al Shohel; Vidya A. Chhabria; Nestoras E. Evmorfopoulos; Sachin S. Sapatnekar (ICCAD, 2023)

Recent Progress in the Analysis of Electromigration and Stress Migration in Large Multisegment Interconnects. - Nestor E. Evmorfopoulos; Mohammad Abdullah Al Shohel; Olympia Axelou; Pavlos Stoikos; Vidya A. Chhabria; Sachin S. Sapatnekar (ISPD, 2023)

Analysis of Pattern-dependent Rapid Thermal Annealing Effects on SRAM Design. - Vidya A. Chhabria; Sachin S. Sapatnekar (ISQED, 2023)

Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems. - Vidya A. Chhabria; Chetan Choppali Sudarshan; Sarma B. K. Vrudhula; Sachin S. Sapatnekar (CoRR, 2023)

Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks. - Vidya A. Chhabria; Vipul Ahuja; Ashwath Prabhu; Nikhil Patil; Palkesh Jain; Sachin S. Sapatnekar (ACM Trans. Design Autom. Electr. Syst., 2023)

Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. - Zhenyu Wang; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Yaotian Liu; Jae-Sun Seo; Chaitali Chakrabarti; Ümit Y. Ogras; Vidya A. Chhabria; Jeff Zhang 001; Yu Cao 001 (ASPDAC, 2024)

GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. - Chetan Choppali Sudarshan; Aman Arora 001; Vidya A. Chhabria (DAC, 2024)

Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. - Chetan Choppali Sudarshan; Aman Arora 001; Vidya A. Chhabria (IGSC, 2024)

ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI. - Chetan Choppali Sudarshan; Nikhil Matkar; Sarma B. K. Vrudhula; Sachin S. Sapatnekar; Vidya A. Chhabria (HPCA, 2024)

Strengthening the Foundations for IC Physical Design and ML EDA Research. - Vidya A. Chhabria; Vikram Gopalakrishnan; Andrew B. Kahng; Sayak Kundu; Zhiang Wang; Bing-Yue Wu; Dooseok Yoon (ICCAD, 2024)

Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants. - Vidya A. Chhabria; Bing-Yue Wu; Utsav Sharma; Kishor Kunal; Austin Rovinski; Sachin S. Sapatnekar (ICCAD, 2024)

Analyzing the Impact of FinFET Self-Heating on the Performance of RF Power Amplifiers. - Nibedita Karmokar; Sai-Wang Tam; Thanh Viet Dinh; Vidya A. Chhabria; Ramesh Harjani; Sachin S. Sapatnekar (ICCAD, 2024)

2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration. - Bing-Yue Wu; Rongjian Liang; Geraldo Pradipta; Anthony Agnesina; Haoxing Ren; Vidya A. Chhabria (ICCAD, 2024)

ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. - Vikram Gopalakrishnan; Bing-Yue Wu; Vidya Ashok Chhabria (ISLPED, 2024)

IR-Aware ECO Timing Optimization Using Reinforcement Learning. - Wenjing Jiang; Vidya A. Chhabria; Sachin S. Sapatnekar (MLCAD, 2024)

OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. - Utsav Sharma; Bing-Yue Wu; Sai Rahul Dhanvi Kankipati; Vidya A. Chhabria; Austin Rovinski (MLCAD, 2024)

OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. - Vidya A. Chhabria; Wenjing Jiang; Andrew B. Kahng; Rongjian Liang; Haoxing Ren; Sachin S. Sapatnekar; Bing-Yue Wu (VTS, 2024)

EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD. - Bing-Yue Wu; Utsav Sharma; Sai Rahul Dhanvi Kankipati; Ajay Yadav; Bintu Kappil George; Sai Ritish Guntupalli; Austin Rovinski; Vidya A. Chhabria (CoRR, 2024)

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route. - Vidya A. Chhabria; Wenjing Jiang; Andrew B. Kahng; Sachin S. Sapatnekar (ACM Trans. Design Autom. Electr. Syst., 2024)

Invited: EDA for Heterogeneous Integration. - Emad Haque; Pragnya Sudershan Nalla; Chetal Choppali Sudarshan; Divya Yogi; Hangyu Zhang; Chaitali Chakrabarti; Vidya A. Chhabria; Ramesh Harjani; Jeff Zhang 001; Sachin S. Sapatnekar (DAC, 2025)

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. - Jiajun Hu; Chetan Choppali Sudarshan; Maxwell Clifford; Vidya A. Chhabria; Aman Arora 001 (ACM Great Lakes Symposium on VLSI, 2025)

Invited: Toward an ML EDA Commons: Establishing Standards, Accessibility, and Reproducibility in ML-driven EDA Research. - Vidya A. Chhabria; Jiang Hu 001; Andrew B. Kahng; Sachin S. Sapatnekar (ISPD, 2025)

Invited Paper: MLCAD 2025 Contest on ReSynthAI: Physical-aware Logic Resynthesis using AI. - Vikram Gopalakrishnan; Atmadip Dey; Rongjian Liang; Yanqing Zhang 002; Haoxing Ren; Vidya A. Chhabria (MLCAD, 2025)

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. - Jiajun Hu; Chetan Choppali Sudarshan; Vidya A. Chhabria; Aman Arora 001 (CoRR, 2025)

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design. - Bing-Yue Wu; Vidya A. Chhabria (CoRR, 2025)

An Analytical Solution for Transient Electromigration Stress in Multisegment Straight-line Interconnects Based on a Stress-wave Model. - Mohammad Abdullah Al Shohel; Vidya A. Chhabria; Nestoras E. Evmorfopoulos; Sachin S. Sapatnekar (ACM Trans. Design Autom. Electr. Syst., 2025)

HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing. - Zhenyu Wang; Pragnya Sudershan Nalla; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Jae-Sun Seo; Vidya A. Chhabria; Jeff Zhang 001; Chaitali Chakrabarti; Ümit Y. Ogras; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness. - Ziang Yin; Hongjian Zhou; Chetan Choppali Sudarshan; Vidya A. Chhabria; Jiaqi Gu 002 (CoRR, 2025)