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Publication	Type	Year
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
Document Title	Type	Year

Results 1–25 of 31

Publications

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

Machine learning the C5H5 potential energy surface

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

Surrogate models and physics constraints in atomistic modeling

Neuromorphic Graph Algorithms

Provable Advantages for Graph Algorithms in Spiking Neural Networks

Provable advantages for graph algorithms in spiking neural networks

Platform-Agnostic Neural Algorithm Composition using Fugu

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

Finite-element modeling for an explosively loaded ferroelectric generator

Fugu: Algorithm Development for Neuromorphic Hardware

Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios

Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios

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

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

Modeling Bilevel Programs in Pyomo

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

Modeling Bilevel Programs in Pyomo

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

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

N-K-e Survivable Network Design

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

Computational Challenges in Optimization for Electrical Grid Operations and Planning

Investment Planning and Analysis for CBRN