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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
662022
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), 1-9, 2016
312016
Efficient nonlinear manifold reduced order model
Y Kim, Y Choi, D Widemann, T Zohdi
Machine Learning for Engineering Modeling, Simulation, and Design Workshop …, 2020
272020
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
192016
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
182021
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, 2020
92020
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
52021
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
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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