Choi, Youngsoo
- A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
2020/09/25 by Youngkyu Kim, Kim, Youngkyu, Youngsoo Choi +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)
- Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems
2019/10/03 by Choi, Youngsoo, Brown, Peter, Arrighi, Bill +1 · 7 citations
#FOS: Mathematics #Numerical Analysis (math.NA)
- 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 · 11 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)
- Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction
2017/03/14 by Choi, Youngsoo, Carlberg, Kevin · 4 citations
#65L05 #65L06 #65L60 #65M15 #65M22 #68U20 #FOS: Mathematics #Numerical Analysis (math.NA)
- Weak-Form Latent Space Dynamics Identification
2023/11/20 by April Tran, Xiaolong He, Tran, April +7 · 8 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
- Gradient-based Constrained Optimization Using a Database of Linear\n Reduced-Order Models
2015/06/25 by Youngsoo Choi, Choi, Youngsoo, Gabriele Boncoraglio +7 · 3 citations
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Hydraulic and Pneumatic Systems #Advanced Control Systems Optimization
- 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 · 3 citations
Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Electromagnetic Simulation and Numerical Methods
- tLaSDI: Thermodynamics-informed latent space dynamics identification
2024/03/09 by Park, Jun Sur Richard, Cheung, Siu Wun, Choi, Youngsoo +1 · 6 citations
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
- Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition
2022/01/18 by Cheung, Siu Wun, Choi, Youngsoo, Copeland, Dylan Matthew +1 · 4 citations
#FOS: Mathematics #Numerical Analysis (math.NA)
- Physics-informed active learning with simultaneous weak-form latent space dynamics identification
2024/06/29 by Xiaolong He, He, Xiaolong, April Tran +5 · 6 citations
Computer Science · #Time Series Analysis and Forecasting #Computational Physics and Python Applications #Anomaly Detection Techniques and Applications
- 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 · 3 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
- Data-scarce surrogate modeling of shock-induced pore collapse process
2023/05/31 by Cheung, Siu Wun, Choi, Youngsoo, Springer, H. Keo +1 · 4 citations
#Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Finance #Numerical Analysis (math.NA) #and Science (cs.CE)
- A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
2021/05/27 by Kadeethum, Teeratorn, O'Malley, Daniel, Fuhg, Jan Niklas +4 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- 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 · 4 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)
- Accelerating design optimization using reduced order models
2019/09/25 by Youngsoo Choi, Choi, Youngsoo, Geoffrey Oxberry +5 · 3 citations
Engineering · Decision Sciences · Physics and Astronomy · #Topology Optimization in Engineering #Probabilistic and Robust Engineering Design #Model Reduction and Neural Networks
- 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
- Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
2023/12/02 by Bonneville, Christophe, Choi, Youngsoo, Ghosh, Debojyoti +1 · 2 citations
#Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #and Science (cs.CE)
- 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)
- Reduced-order modeling for parameterized PDEs via implicit neural representations
2023/11/28 by Wen, Tianshu, Lee, Kookjin, Choi, Youngsoo · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Mathematical Physics (math-ph) #Numerical Analysis (math.NA)
- Local Reduced-Order Modeling for Electrostatic Plasmas by Physics-Informed Solution Manifold Decomposition
2023/10/27 by Tsai, Ping-Hsuan, Chung, Seung Whan, Ghosh, Debojyoti +3 · 1 citation
#FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Plasma Physics (physics.plasm-ph)
- Reducing Frequency Bias of Fourier Neural Operators in 3D Seismic Wavefield Simulations Through Multi-Stage Training
2025/03/03 by Kong, Qingkai, Zou, Caifeng, Choi, Youngsoo +5 · 2 citations
#FOS: Physical sciences #Geophysics (physics.geo-ph)
- 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)
- A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
2023/11/29 by Aaron L. Brown, Brown, Aaron L., Eric Chin +7 · 1 citation
Engineering · #Additive Manufacturing Materials and Processes #Additive Manufacturing and 3D Printing Technologies #FOS: Mathematics #Numerical Analysis (math.NA)
- 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
- 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
- Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
2025/06/10 by Xiaolong He, Yeonjong Shin, He, Xiaolong +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
- 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