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Youngkyu Kim
Youngkyu Kim
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Y Kim, Y Choi, D Widemann, T Zohdi
Journal of Computational Physics 451, 110841, 2022
2032022
Efficient nonlinear manifold reduced order model
Y Kim, Y Choi, D Widemann, T Zohdi
Machine Learning for Engineering Modeling, Simulation, and Design Workshop …, 2020
532020
Continuous particle separation using pressure-driven flow-induced miniaturizing free-flow electrophoresis (PDF-induced μ-FFE)
H Jeon, Y Kim, G Lim
Scientific reports 6 (1), 19911, 2016
392016
Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code
Y Kim, K Wang, Y Choi
Mathematics 9 (14), 1690, 2021
362021
Dominant mechanisms of the sintering of copper nano-powders depending on the crystal misalignment
Y Seong, Y Kim, R German, S Kim, SG Kim, SJ Kim, HJ Kim, SJ Park
Computational Materials Science 123, 164-175, 2016
212016
Thermal state estimation of fused deposition modeling in additive manufacturing processes using Kalman filters
Y Kim, D Alcantara, TI Zohdi
International Journal for Numerical Methods in Engineering 123 (13), 3021-3033, 2022
152022
Particle-scale numerical modeling of thermo-mechanical phenomena for additive manufacturing using the material point method
T Maeshima, Y Kim, TI Zohdi
Computational Particle Mechanics 8 (3), 613-623, 2021
82021
Material Characterization of Single Crystalline Cu Subjected to High Strain Rates and High Temperatures for Multiscale Simulation
Y Seong, Y Kim, ID Jung, S Kim, SJ Kim, SG Kim, HJ Kim, SJ Park
Korean Journal of Metals and Materials 55 (11), 760-767, 2017
12017
Gappy AE: A nonlinear approach for Gappy data reconstruction using auto-encoder
Y Kim, Y Choi, B Yoo
Computer Methods in Applied Mechanics and Engineering 426, 116978, 2024
2024
Physics-informed data assimilation and data-driven reduced order model
Y Kim
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
2020
Particle separation apparatus using pressure-driven flow and free-flow electrophoresis
YK Geunbae Lim, Hyungkook Jeon
KR Patent 10-1796184-0,000, 2017
2017
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