Publications
| Publication | Type | Year |
|---|---|---|
Continuum semiconductor physics model compression via Data-driven Discrete Exterior Calculus8th European Congress on Computational Methods in Applied Sciences and Engineering
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Data-Driven Approximation of the Koopman Operator to support the Design of Electrical Systems, Data-Driven Model Integration for the Xyce Circuit Simulator, A nonlinear numerical transient compact photocurrent model and two more2022 SIAM Conference on Mathematics of Data Science
|
Abstract – 2022 Abstract | 2022 |
Machine learning of Physics-Informed Graph Neural Networks from TCAD modelsMechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (IACM conference) 2021
|
Conference Presentation – 2021 Conference Presentation | 2021 |
Machine learning surrogates of high-fidelity electrical modelsREHEDS External Review
|
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Greedy Fiedler Spectral Partitioning for Data-driven Discrete Exterior CalculusAssociation for the Advancement of Artificial Intelligence - Machine Learning for the Physical Sciences (AAAI-MLPS) 2021 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Extraction of Data-Driven Compact Models from High-Fidelity Semiconductor Simulations with Topological Data AnalysisSIAM Conference on Computional Science and Engineering 2021 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Gemma: An Electromagnetic Code for Heterogeneous Computer ArchitecturesJowog-34 |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Physics-Informed Graph Neural Network for Circuit Compact Model DevelopmentInternational Conference on Simulation of Semiconductor Processes and Devices (SISPAD) 2020 |
Conference Paper – 2020 Conference Paper | 2020 |
Physics-Informed Graph Neural Network for Circuit Compact Model DevelopmentInternational Conference on Semiconductor Simulation of Processes and Devices |
Conference Paper – 2020 Conference Paper | 2020 |
Physics-Informed Graph Neural Network for Circuit Compact Model DevelopmentSispad 2020
|
Abstract – 2020 Abstract | 2020 |
Physics-Informed, Multi-Stage Machine Learning for Circuit Compact ModelsSIAM Conference on Mathematics of Data Science (MDS20)
|
Abstract – 2020 Abstract | 2020 |
Gemma: A Sandia National Laboratories Electromagnetic Code for Heterogeneous Computer ArchitecturesSiam Conference on Parallel Processing for Scientific Computing (PP2) |
Conference Paper – 2020 Conference Paper | 2020 |
Physics informed machine learning at SNLLANL seminar |
Presentation (non-conference) – 2019 Presentation (non-conference) | 2019 |
Gemma: A Sandia National Laboratories Electromagnetic Code for Heterogeneous Computer ArchitecturesSIAM Parallel Processing Conference for Scientific Computing
|
Abstract – 2019 Abstract | 2019 |
Developing a Harmonic Balance Method for CharonTrilinos Users Group |
Conference Paper – 2018 Conference Paper | 2018 |
A versatile harmonic balance method in a parallel frameworkInternational Conference on Simulation of Semiconductor Processes and Devices (SISPAD) |
Conference Paper – 2018 Conference Paper | 2018 |
A versatile harmonic balance method in a parallel frameworkSISPAD (Simulation of Semiconductor Proceeses and Devices) |
Conference Paper – 2018 Conference Paper | 2018 |
A versatile harmonic balance method in a parallel frameworkSISPAD (Simulation of Semiconductor Processes and Devices) 2018
|
Abstract – 2018 Abstract | 2018 |
Implementation of Different Stabilization Schemes in Charon Using Trilinos/Panzer2015 Trilinos User Group Meeting |
Conference Paper – 2015 Conference Paper | 2015 |
| Document Title | Type | Year |