Publications

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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 more

2022 SIAM Conference on Mathematics of Data Science

Joshua McKinley Hanson, Andy Huang, Edgar Galvan, Kenneth Chadwick Sockwell, Biliana Stefanova Paskaleva, Charles E. Hembree, Pavel B. Bochev

Abstract – 2022 Abstract 2022

Semiconductor Device Models Constructed Using Simple Elements and Auxiliary Dynamics

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

Charles E. Hembree, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Pavel B. Bochev, Eric R. Keiter, Alan Mar, Ting Mei

Conference Presentation – 2021 Conference Presentation 2021

Xyce Python Model Interpreter (Xyce-PyMi) for enabling ML advancements in production circuit simulation software

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

Paul Allen Kuberry, Ting Mei, Eric R. Keiter, Biliana Stefanova Paskaleva, Pavel B. Bochev, Joshua McKinley Hanson

Conference Presentation – 2021 Conference Presentation 2021

Data-Driven Compact Modeling of Bipolar Junction Transistors with Recurrent Neural Networks

Mmld-cest-2021

Biliana Stefanova Paskaleva, Viraj Shitole, Elyse Rosenbaum, Joshua McKinley Hanson, Alan Yang, Paul Allen Kuberry

Conference Presentation – 2021 Conference Presentation 2021

Hybrid analytic-numerical compact models for radiation-induced photocurrents.

18th Earth and Space Conference

Pavel B. Bochev, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Charles E. Hembree, Eric R. Keiter, Kenneth Chadwick Sockwell

Abstract – 2021 Abstract 2021

A Numerical Compact Photocurrent Model and its Implementation via Xyce-PyMi

Machine Learning and Deep Learning Conference (MLDL 2021)

Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Pavel B. Bochev, Eric R. Keiter, Charles E. Hembree, Paul Allen Kuberry

https://www.osti.gov/search/identifier:1876997

Conference Presentation – 2021 Conference Presentation 2021

Data-driven compact modeling of bipolar junction transistors with recurrent neural networks

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology (MMLDT-CSET)

Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Paul Allen Kuberry, Elyse Rosenbaum, Alan Yang, Viraj Shitole

Abstract – 2021 Abstract 2021

A hybrid analytic-numerical compact model for radiation induced photocurrent effects

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

Pavel B. Bochev, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Eric R. Keiter, Charles E. Hembree

Abstract – 2021 Abstract 2021

Learning Compact Physics-Aware Photocurrent Models Using Dynamic Mode Decomposition

SEERI End of Summer Presentations

Joshua McKinley Hanson, Pavel B. Bochev, Biliana Stefanova Paskaleva

https://www.osti.gov/search/identifier:1813918

Presentation (non-conference) – 2020 Presentation (non-conference) 2020
Document Title Type Year