Publications

9 Results
Date Inputs. Currently set to enter a start and end date.
Current Filters Clear all
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