Publications

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Partition of unity networks: deep hp-approximation

AAAI MLPS virtual meeting

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1856303

Conference Presentation – 2021 Conference Presentation 2021

Convergent and structure preserving architectures for SciML

USACM UQ webinar

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1856094

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A block coordinate descent optimizer for classification problems exploiting convexity

Aaai-mlps 2021

Mamikon Gulian, Ravi Ghanshyam Patel, Nathaniel Albert Trask, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1855748

Conference Paper – 2021 Conference Paper 2021

Northwestern tutorial

Tutorial lecture for engineering group at Northwestern

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1854536

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

Designing convergent and structure preserving architectures for SciML

One World ML virtual meeting

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1854079

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Designing convergent and structure preserving architectures for SciML

University of Texas El Paso Department Seminar

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1853849

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A data-driven exterior calculus for model discovery

Siam Cse

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1853865

Conference Presentation – 2021 Conference Presentation 2021

A Physics-Informed Operator Regression Framework for Extracting Data-Driven Continuum Models

Siam Cse21

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1853856

Conference Presentation – 2021 Conference Presentation 2021

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

SIAM Conference on Computational Science and Engineering

Indu Manickam, Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Myoungkyu NMN Lee, Ignacio Tomas, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1847572

Conference Presentation – 2021 Conference Presentation 2021

An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs

SIAM Conference on Computational Science and Engineering (CSE21)

Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1847582

Conference Presentation – 2021 Conference Presentation 2021

An Asymptotically Compatible Approach For Neumann-type Boundary Condition On Nonlocal Problems

Esaim

Huaiqian You, Xin Yang Lu, Nathaniel Albert Trask, Yue Yu

https://www.osti.gov/search/identifier:1769929

Journal Article – 2021 Journal Article 2021

An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture

Computer Methods in applied mechanics and engineering

Yue Yu, Huaiqian You, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1769919

Journal Article – 2021 Journal Article 2021

Partition of unity networks: data-driven meshfree hp-approximation

AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences

Lee Kookjin, Nathaniel Albert Trask, Ravi Ghanshyam Patel, Mamikon Gulian, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1835970

Conference Paper – 2020 Conference Paper 2020

Meshless Methods for Manifolds GMLS Approximations of Hydrodynamic Responses in Curved Fluid Interfaces

Wccm 2020

Ben Gross, Paul Allen Kuberry, Nathaniel Albert Trask, Paul Atzberger

https://www.osti.gov/search/identifier:1834284

Conference Presentation – 2020 Conference Presentation 2020

Learning continuum-scale models from micro-scale dynamics via Operator Regression

14th World Congress in Computational Mechanics

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1834283

Conference Presentation – 2020 Conference Presentation 2020

A data-driven exterior calculus for model discovery

Uncertainty Management and Machine Learning in Engineering Applications

Nathaniel Albert Trask

Conference Presentation – 2020 Conference Presentation 2020

A data-driven exterior calculus for model discovery

Princeton Plasma Physics Laboratory Seminar

Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1833914

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

Physics-Informed Machine Learning for Epidemiological Models

Carianne Martinez, Jessica Eileen Jones, Drew Levin, Nathaniel Albert Trask, Patrick D. Finley

https://www.osti.gov/search/identifier:1706217

Report – 2020 Report 2020

Regression Based Approach for Robust Finite Element Analysis on Arbitrary Grids (REBAR)

International Mechanical Engineering Congress & Exposition (IMECE) 2020

Paul Allen Kuberry, Nathaniel Albert Trask, Jacob Koester, Pavel B. Bochev

https://www.osti.gov/search/identifier:1822641

Conference Paper – 2020 Conference Paper 2020

Regression Based Approach for Robust Finite Element Analysis on Arbitrary Grids: LDRD Final Report

Paul Allen Kuberry, Pavel B. Bochev, Jacob Koester, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1669732

SAND Report – 2020 SAND Report 2020

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

Regression Based Approach for Robust Finite Element Analysis on Arbitrary Grids

IMECE International Mechanical Engineering Congress & Exposition

Paul Allen Kuberry, Nathaniel Albert Trask, Jacob Koester, Pavel B. Bochev

Abstract – 2020 Abstract 2020

Robust Training and Initialization of Deep Neural Networks An Adaptive Basis Viewpoint

Princeton MSML meeting

Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1810691

Conference Paper – 2020 Conference Paper 2020
Document Title Type Year
Results 26–50 of 129