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Center for Computing Research

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Publication	Type	Year
Continuum semiconductor physics model compression via Data-driven Discrete Exterior Calculus 8th European Congress on Computational Methods in Applied Sciences and Engineering Andy Huang, Nathaniel Albert Trask, Xujiao Gao, Shahed Reza, Ravi Ghanshyam Patel, Christopher Brissette, Xiaozhe Hu	Conference Presentation – 2022 Conference Presentation	2022
Machine learning of Physics-Informed Graph Neural Networks from TCAD models Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (IACM conference) 2021 Andy Huang, Nathaniel Albert Trask, Xujiao Gao, Shahed Reza, Ravi Ghanshyam Patel, Christopher Brissette, Xiaozhe Hu	Conference Presentation – 2021 Conference Presentation	2021
Machine learning surrogates of high-fidelity electrical models REHEDS External Review Andy Huang, Xujiao Gao, Shahed Reza, Nathaniel Albert Trask, Ian Zachary Wilcox, Candace Pauline Diaz, Ravi Ghanshyam Patel	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Extraction of Data-Driven Compact Models from High-Fidelity Semiconductor Simulations with Topological Data Analysis SIAM Conference on Computional Science and Engineering 2021 Andy Huang, Nathaniel Albert Trask, Xujiao Gao, Shahed Reza, Ian Zachary Wilcox, Candace Pauline Diaz https://www.osti.gov/search/identifier:1854316	Conference Presentation – 2021 Conference Presentation	2021
Physics-Informed Graph Neural Network for Circuit Compact Model Development International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) 2020 Xujiao Gao, Andy Huang, Nathaniel Albert Trask, Shahed Reza https://www.osti.gov/search/identifier:1820261	Conference Paper – 2020 Conference Paper	2020
Physics-Informed Graph Neural Network for Circuit Compact Model Development International Conference on Semiconductor Simulation of Processes and Devices Xujiao Gao, Andy Huang, Nathaniel Albert Trask, Shahed Reza https://www.osti.gov/search/identifier:1818021	Conference Paper – 2020 Conference Paper	2020
Physics-Informed Graph Neural Network for Circuit Compact Model Development Sispad 2020 Xujiao Gao, Andy Huang, Nathaniel Albert Trask, Shahed Reza	Abstract – 2020 Abstract	2020
Physics-Informed, Multi-Stage Machine Learning for Circuit Compact Models SIAM Conference on Mathematics of Data Science (MDS20) Andy Huang, Nathaniel Albert Trask, Xujiao Gao, Shahed Reza	Abstract – 2020 Abstract	2020
NextGen Workflow for Electrical Analysis Calibration Computer and Information Sciences (CIS) External Review Board (ERB) meeting Matthew R. Glickman, Ernest Joseph Friedman-Hill, Shahed Reza, Peter E. Sholander, Rachelle Thompson Gurule https://www.osti.gov/search/identifier:1508716	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Document Title	Type	Year