Youngsoo Choi

Available identifiers

zbMath Open choi.youngsooMaRDI QIDQ898496

List of research outcomes

Publication	Date of Publication	Type
GPLaSDI: Gaussian process-based interpretable latent space dynamics identification through deep autoencoder	2024-03-21	Paper
Nonlinear-manifold reduced order models with domain decomposition	2023-12-01	Paper
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing	2023-11-29	Paper
Reduced-order modeling for parameterized PDEs via implicit neural representations	2023-11-27	Paper
Weak-Form Latent Space Dynamics Identification	2023-11-20	Paper
Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling	2023-10-27	Paper
gLaSDI: parametric physics-informed greedy latent space dynamics identification	2023-07-03	Paper
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations	2023-03-15	Paper
Parametric dynamic mode decomposition for reduced order modeling	2023-02-03	Paper
Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition	2022-11-18	Paper
Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models	2022-10-10	Paper
LaSDI: parametric latent space dynamics identification	2022-09-22	Paper
Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models	2022-05-19	Paper
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder	2022-05-03	Paper
Parametric Dynamic Mode Decomposition for Reduced Order Modeling	2022-04-25	Paper
Gradient-based constrained optimization using a database of linear reduced-order models	2022-04-14	Paper
S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models	2022-03-29	Paper
LaSDI: Parametric Latent Space Dynamics Identification	2022-03-03	Paper
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning	2022-02-11	Paper
Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition	2022-01-18	Paper
Reduced order models for Lagrangian hydrodynamics	2021-12-13	Paper
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction	2021-10-27	Paper
Component-wise reduced order model lattice-type structure design	2021-10-26	Paper
Reduced order models for Lagrangian hydrodynamics	2021-04-23	Paper
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code	2020-11-20	Paper
Efficient nonlinear manifold reduced order model	2020-11-13	Paper
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder	2020-09-24	Paper
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction	2020-07-23	Paper
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems	2019-10-02	Paper
Accelerating design optimization using reduced order models	2019-09-25	Paper
Conservative model reduction for finite-volume models	2019-06-26	Paper
Space--Time Least-Squares Petrov--Galerkin Projection for Nonlinear Model Reduction	2019-01-14	Paper
A practical factorization of a Schur complement for PDE-constrained distributed optimal control	2015-12-09	Paper
Gradient-based Constrained Optimization Using a Database of Linear Reduced-Order Models	2015-06-25	Paper
Distributed Computing – IWDC 2005	2006-10-10	Paper
https://portal.mardi4nfdi.de/entity/Q3044954	2004-08-12	Paper
https://portal.mardi4nfdi.de/entity/Q4343523	1997-11-02	Paper
https://portal.mardi4nfdi.de/entity/Q4717603	1996-01-01	Paper

Research outcomes over time

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