Youngsoo Choi

According to our database, Youngsoo Choi authored at least 50 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models.

Jessica T. Lauzon, Siu Wun Cheung, Yeonjong Shin, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh

SIAM J. Sci. Comput., 2024

Data-driven Virtual Test-bed of the Blown Powder Directed Energy Deposition Process.

Michael Juhasz, Eric B. Chin, Youngsoo Choi, Joseph T. McKeown, Saad A. Khairallah

CoRR, 2024

Physics-informed active learning with simultaneous weak-form latent space dynamics identification.

Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi

CoRR, 2024

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.

Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi

CoRR, 2024

tLaSDI: Thermodynamics-informed latent space dynamics identification.

Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin

CoRR, 2024

Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition.

Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du Y. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker

CoRR, 2024

2023

Parametric dynamic mode decomposition for reduced order modeling.

Quincy A. Huhn, Mauricio E. Tano, Jean C. Ragusa, Youngsoo Choi

J. Comput. Phys., February, 2023

On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations.

Cosmin G. Petra, Miguel A. Salazar de Troya, Noemi Petra, Youngsoo Choi, Geoffrey M. Oxberry, Daniel A. Tortorelli

Optim. Methods Softw., January, 2023

gLaSDI: Parametric physics-informed greedy latent space dynamics identification.

Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen

J. Comput. Phys., 2023

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition.

Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh

J. Comput. Phys., 2023

Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations.

Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof

CoRR, 2023

Nonlinear-manifold reduced order models with domain decomposition.

Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss

CoRR, 2023

Accelerating Flow Simulations using Online Dynamic Mode Decomposition.

Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi

CoRR, 2023

A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing.

Aaron L. Brown, Eric B. Chin, Youngsoo Choi, Saad A. Khairallah, Joseph T. McKeown

CoRR, 2023

Reduced-order modeling for parameterized PDEs via implicit neural representations.

Tianshu Wen, Kookjin Lee, Youngsoo Choi

CoRR, 2023

Weak-Form Latent Space Dynamics Identification.

April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz

CoRR, 2023

Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling.

Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof

CoRR, 2023

Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer.

Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon

CoRR, 2023

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder.

Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof

CoRR, 2023

Data-scarce surrogate modeling of shock-induced pore collapse process.

Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, Teeratorn Kadeethum

CoRR, 2023

A fast and accurate domain-decomposition nonlinear manifold reduced order model.

Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss

CoRR, 2023

Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems.

Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

IEEE Access, 2023

A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information.

Youngsoo Choi, Yongmun Yun, Woo-Jeong Jeon, Seung-Hyun Kong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi

J. Comput. Phys., 2022

Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.

Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon

Comput. Geosci., 2022

Certified data-driven physics-informed greedy auto-encoder simulator.

Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen

CoRR, 2022

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities.

Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof

CoRR, 2022

Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models.

Sean McBane, Youngsoo Choi, Karen Willcox

CoRR, 2022

LaSDI: Parametric Latent Space Dynamics Identification.

William Fries, Xiaolong He, Youngsoo Choi

CoRR, 2022

Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds.

Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

CoRR, 2022

2021

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.

Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas

Nat. Comput. Sci., 2021

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems.

Youngsoo Choi, Peter Brown, William J. Arrighi, Robert W. Anderson, Kevin Huynh

J. Comput. Phys., 2021

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques.

Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas

CoRR, 2021

Reduced order models for Lagrangian hydrodynamics.

Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, Youngsoo Choi

CoRR, 2021

2020

SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction.

Youngsoo Choi, Deshawn Coombs, Robert W. Anderson

SIAM J. Sci. Comput., 2020

Gradient-based constrained optimization using a database of linear reduced-order models.

Youngsoo Choi, Gabriele Boncoraglio, Spenser Anderson, David Amsallem, Charbel Farhat

J. Comput. Phys., 2020

Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code.

Youngkyu Kim, Karen May Wang, Youngsoo Choi

CoRR, 2020

Efficient nonlinear manifold reduced order model.

Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi

CoRR, 2020

Component-wise reduced order model lattice-type structure design.

Sean McBane, Youngsoo Choi

CoRR, 2020

Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction.

Chi Hoang, Youngsoo Choi, Kevin Carlberg

CoRR, 2020

Semantic-based quality of service management for real-time WebRTC streaming service.

Seikwon Kim, Sunwoo Nam, Youngsoo Choi, Hyowon Kim, Venugopal S. M, Chirag Kataria, Kodam Nagaraju, Surya Kumar, Eun Namgung

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

2019

Space-Time Least-Squares Petrov-Galerkin Projection for Nonlinear Model Reduction.

Youngsoo Choi, Kevin Carlberg

SIAM J. Sci. Comput., 2019

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems.

Youngsoo Choi, Peter Brown, Bill Arrighi, Robert W. Anderson

CoRR, 2019

Accelerating design optimization using reduced order models.

Youngsoo Choi, Geoffrey Oxberry, Daniel A. White, Trenton Kirchdoerfer

CoRR, 2019

2018

Conservative model reduction for finite-volume models.

Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan

J. Comput. Phys., 2018

SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction.

Youngsoo Choi, Deshawn Coombs, Robert W. Anderson

CoRR, 2018

2015

A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control.

Youngsoo Choi, Charbel Farhat, Walter Murray, Michael A. Saunders

J. Sci. Comput., 2015

2005

Autonomous and Dependable Recovery Scheme in UPnP Network Settings.

Youngsoo Choi, Sanguk Noh, Kyunghee Choi, Gihyun Jung

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004

An Intelligent Topic-Specific Crawler Using Degree of Relevance.

Sanguk Noh, Youngsoo Choi, Haesung Seo, Kyunghee Choi, Gihyun Jung

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2001

The impact of if-conversion and branch prediction on program execution on the Intel Itanium processor.

Youngsoo Choi, Allan D. Knies, Luke Gerke, Tin-Fook Ngai

Proceedings of the 34th Annual International Symposium on Microarchitecture, 2001