Publications

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A Neural Network Based Model for Reactive Heavy Hydrocarbon Potential Energy Surfaces

18th International Conference on Numerical Combustion

Yoona NMN Yang, Habib N. Najm, Judit Zador, Michael S. Eldred

Conference Presentation – 2022 Conference Presentation 2022

Machine learning the C5H5 potential energy surface

Unimolecular reactions Faraday Discussion

Yoona NMN Yang, Carles Marti Aliod, Michael S. Eldred, Judit Zador, Habib N. Najm

Abstract – 2022 Abstract 2022

A neural network based model for reactive heavy hydrocarbon potential energy surfaces

18th International Conference on Numerical Combustion | The Combustion Institute

Yoona NMN Yang, Habib N. Najm, Judit Zador, Michael S. Eldred

Abstract – 2022 Abstract 2022

Surrogate models and physics constraints in atomistic modeling

RAMSESReduced order models; Approximation theory; Machine learning; Surrogates, Emulators and Simulators

Habib N. Najm, Yoona NMN Yang, Judit Zador, Michael S. Eldred

Conference Presentation – 2021 Conference Presentation 2021

Neuromorphic Graph Algorithms

Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa

https://www.osti.gov/search/identifier:1829422

SAND Report – 2021 SAND Report 2021

Provable Advantages for Graph Algorithms in Spiking Neural Networks

ACM Symposium on Parallelism in Algorithms and Architectures

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

Conference Presentation – 2021 Conference Presentation 2021

Provable advantages for graph algorithms in spiking neural networks

33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021)

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

https://www.osti.gov/search/identifier:1871422

Conference Paper – 2021 Conference Paper 2021

Platform-Agnostic Neural Algorithm Composition using Fugu

Neuro-Inspired Computational Elements

William Mark Severa, James Bradley Aimone, Craig Michael Vineyard, Srideep Musuvathy, Yang Ho, Zubin Alexander Kane, Leah Reeder

https://www.osti.gov/search/identifier:1856292

Conference Presentation – 2021 Conference Presentation 2021

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

32nd ACM Symposium on Parallelism in Algorithms and Architectures

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

https://www.osti.gov/search/identifier:1814114

Conference Paper – 2020 Conference Paper 2020

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020)

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

https://www.osti.gov/search/identifier:1808434

Conference Paper – 2020 Conference Paper 2020

Finite-element modeling for an explosively loaded ferroelectric generator

John Henry Judah Niederhaus, Pin Yang, Christopher DiAntonio, George Vunni

https://www.osti.gov/search/identifier:1571553

SAND Report – 2019 SAND Report 2019

Fugu: Algorithm Development for Neuromorphic Hardware

Intel Neuromorphic Research Community Fall Workshop

Srideep Musuvathy, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Ryan Anthony Dellana, Yang Ho, Leah Evelyn Reeder, William Mark Severa, Craig Michael Vineyard, Felix Wang

https://www.osti.gov/search/identifier:1646072

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios

PMAPS Conference 2018

Benjamin Alexander Rachunok, Andrea Staid, Jean-Paul Watson, David L. Woodruff, Dominic Yang

https://www.osti.gov/search/identifier:1530691

Conference Paper – 2018 Conference Paper 2018

Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios

2018 International Conference on Probabilistic Methods Applied to Power Systems

Jean-Paul Watson, Andrea Staid, Benjamin Alexander Rachunok, David L. Woodruff, Dominic Yang

https://www.osti.gov/search/identifier:1525666

Conference Paper – 2018 Conference Paper 2018

Investigating the Quantum Approximate Optimization Algorithm?s Advantage over Classical Algorithms

Southwest Quantum Information and Technology

Ciaran Ryan-Anderson, Ojas D. Parekh, Yang Jiao

https://www.osti.gov/search/identifier:1505903

Conference Paper – 2017 Conference Paper 2017

Investigating the Quantum Approximate Optimization Algorithm's Advantage over Classical Algorithms

Southwest Quantum Information and Technology

Ciaran Ryan-Anderson, Yang Jiao, Ojas D. Parekh

Abstract – 2016 Abstract 2016

Modeling Bilevel Programs in Pyomo

William Eugene Hart, Jean-Paul Watson, John Daniel Siirola, Richard Li-Yang Chen

https://www.osti.gov/search/identifier:1561200

SAND Report – 2016 SAND Report 2016

Next-generation algorithms for assessing infrastructure vulnerability and optimizing system resilience

Deon L. Burchett, Richard Li-Yang Chen, Cynthia Ann Phillips, Jean-Philippe Richard

https://www.osti.gov/search/identifier:1183056

SAND Report – 2015 SAND Report 2015

Modeling Bilevel Programs in Pyomo

2015 INFORMS Computing Society Conference

William Eugene Hart, Richard Li-Yang Chen, John Daniel Siirola, Jean-Paul Watson

https://www.osti.gov/search/identifier:1244875

Conference Paper – 2015 Conference Paper 2015

Hydrothermal synthesis and characterization of the eulytite phase of bismuth germanium oxide powders

Chemistry of Materials

Cynthia Ann Phillips, Eric Sivonxay, Pin Yang, Mark A. Rodriguez, Bernadette A. Hernandez-Sanchez, Nelson S. Bell, Andrew Velazques, Bryan James Kaehr, Marlene Bencomo, James J.M. Griego, Fred Patrick Doty

https://www.osti.gov/search/identifier:1140482

Journal Article – 2014 Journal Article 2014

Synthesis and characterization of solvothermal processed calcium tungstate nanomaterials from alkoxide precursors.

Chemistry of Materials

Cynthia Ann Phillips, Pin Yang, Khalid Mikhiel Hattar, Bernadette A. Hernandez-Sanchez, Michael Luke Neville, Sarah Hoppe Pratt

https://www.osti.gov/search/identifier:1113055

Journal Article – 2013 Journal Article 2013

N-K-e Survivable Network Design

The 12th International Conference on Probabilistic Methods applied to Power Systems

Richard Li-Yang Chen, Neng Fan, Ali Pinar, Amy Cohn

https://www.osti.gov/search/identifier:1067764

Conference Paper – 2012 Conference Paper 2012

N-1-1 contingency-constrained optimal power flow by interdiction methods

IEEE PES General Meeting 2012

Benjamin Cole, Neng Fan, Richard Li-Yang Chen

https://www.osti.gov/search/identifier:1062969

Conference Paper – 2012 Conference Paper 2012

Computational Challenges in Optimization for Electrical Grid Operations and Planning

SIAM Workshop on Combinatorial Scientific Computing

Richard Li-Yang Chen, Patricia D. Hough, Ali Pinar, John Daniel Siirola, Jean-Paul Watson

https://www.osti.gov/search/identifier:1143908

Conference Paper – 2011 Conference Paper 2011

Investment Planning and Analysis for CBRN

Chemical and Biological Defense Physical Science and Technology Conference

James H. Laros, Katherine Dunphy Guzman, Marilyn F. Hawley, Zach Heath, Christine L. Yang, Thomas Caudell, Frank Gilfeather, Victor Vergara

https://www.osti.gov/search/identifier:1272266

Conference Paper – 2008 Conference Paper 2008
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Results 1–25 of 31