Youngsoo Choi

1. A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
   2020/09/25 by Youngkyu Kim, Youngsoo Choi, Kim, Youngkyu +5 · 12 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE) #Nuclear Engineering Thermal-Hydraulics #Numerical Analysis (math.NA)
2. Space-time reduced order model for large-scale linear dynamical systems\n with application to Boltzmann transport problems
   2019/10/02 by Youngsoo Choi, Choi, Youngsoo, Peter Brown +5 · 8 citations
   Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations #Particle accelerators and beam dynamics
3. GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder
   2023/10/14 by Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh +1 · 10 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Nuclear Engineering Thermal-Hydraulics
4. A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
   2024/03/16 by Christophe Bonneville, Xiaolong He, Bonneville, Christophe +23 · 12 citations
   Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Hydraulic and Pneumatic Systems #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems #and Science (cs.CE)
5. Space-time least-squares Petrov-Galerkin projection for nonlinear model\n reduction
   2017/03/13 by Youngsoo Choi, Choi, Youngsoo, Kevin Carlberg +1 · 5 citations
   Engineering · Physics and Astronomy · #65L05 #65L06 #65L60 #65M15 #65M22 #68U20 #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
6. Weak-Form Latent Space Dynamics Identification
   2023/11/20 by April Tran, Tran, April, Xiaolong He +7 · 10 citations
   Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Finance #Fluid Dynamics and Vibration Analysis #Hydraulic and Pneumatic Systems #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Systems and Control (eess.SY) #and Science (cs.CE) #electronic engineering #information engineering
7. Gradient-based Constrained Optimization Using a Database of Linear\n Reduced-Order Models
   2015/06/25 by Youngsoo Choi, Gabriele Boncoraglio, Choi, Youngsoo +7 · 4 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Hydraulic and Pneumatic Systems #Advanced Control Systems Optimization
8. SNS: A Solution-based Nonlinear Subspace method for time-dependent model\n order reduction
   2018/09/11 by Youngsoo Choi, Deshawn Coombs, Choi, Youngsoo +3 · 4 citations
   Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Electromagnetic Simulation and Numerical Methods
9. Data-scarce surrogate modeling of shock-induced pore collapse process
   2023/05/31 by Siu Wun Cheung, Cheung, Siu Wun, Youngsoo Choi +5 · 6 citations
   Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Finance #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Seismic Imaging and Inversion Techniques #and Science (cs.CE)
10. Physics-informed active learning with simultaneous weak-form latent space dynamics identification
    2024/06/29 by Xiaolong He, April Tran, He, Xiaolong +5 · 8 citations
    Computer Science · #Time Series Analysis and Forecasting #Computational Physics and Python Applications #Anomaly Detection Techniques and Applications
11. Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition
    2023/12/06 by Seung Whan Chung, Chung, Seung Whan, Youngsoo Choi +17 · 6 citations
    Engineering · Physics and Astronomy · #65F55 #65N55 (primary) 76D07 (secondary) #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks #Real-time simulation and control systems #and Science (cs.CE)
12. Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
    2020/11/20 by Youngkyu Kim, Kim, Youngkyu, Youngsoo Choi +2 · 4 citations
    Engineering · Mathematics · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Software (cs.MS) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
13. Accelerating design optimization using reduced order models
    2019/09/25 by Youngsoo Choi, Geoffrey Oxberry, Choi, Youngsoo +5 · 4 citations
    Engineering · Decision Sciences · Physics and Astronomy · #Topology Optimization in Engineering #Probabilistic and Robust Engineering Design #Model Reduction and Neural Networks
14. Efficient nonlinear manifold reduced order model
    2020/11/13 by Youngkyu Kim, Kim, Youngkyu, Youngsoo Choi +5 · 2 citations
    Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Computational Fluid Dynamics and Aerodynamics #Probabilistic and Robust Engineering Design
15. Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
    2025/05/28 by Youngsoo Choi, Siu Wun Cheung, Choi, Youngsoo +21 · 7 citations
    Decision Sciences · #Scientific Computing and Data Management
16. Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities
    2022/07/19 by Charles F. Jekel, Dane M. Sterbentz, Jekel, Charles F. +9 · 1 citation
    Engineering · Physics and Astronomy · #Computational Fluid Dynamics and Aerodynamics #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Gamma-ray bursts and supernovae #Laser-Plasma Interactions and Diagnostics #Machine Learning (cs.LG)
17. Certified data-driven physics-informed greedy auto-encoder simulator
    2022/11/24 by Xiaolong He, He, Xiaolong, Youngsoo Choi +7 · 1 citation
    Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
18. A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
    2023/11/29 by Aaron L. Brown, Eric Chin, Brown, Aaron L. +7 · 1 citation
    Engineering · #Additive Manufacturing Materials and Processes #Additive Manufacturing and 3D Printing Technologies #FOS: Mathematics #Numerical Analysis (math.NA)
19. Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse
    2025/07/14 by Seung Whan Chung, Chung, Seung Whan, Christopher Miller +9 · 5 citations
    Earth and Planetary Sciences · Engineering · #35L67 #37M99 #68T07 #Computational Physics (physics.comp-ph) #Drilling and Well Engineering #FOS: Physical sciences #Hydraulic Fracturing and Reservoir Analysis #Seismic Imaging and Inversion Techniques
20. Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling
    2024/10/28 by Seung Whan Chung, Youngsoo Choi, Chung, Seung Whan +15 · 1 citation
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Hydraulic and Pneumatic Systems
21. Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
    2025/06/10 by Xiaolong He, He, Xiaolong, Yeonjong Shin +8 · 3 citations
    Physics and Astronomy · Materials Science · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Generative Adversarial Networks and Image Synthesis
22. Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
    2024/10/28 by Seung Whan Chung, Youngsoo Choi, Chung, Seung Whan +15 · 1 citation
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Real-time simulation and control systems #Oil and Gas Production Techniques