Youngkyu Kim


  • Kim, Y., Choi, Y., Widemann, D., & Zohdi, T. I. (Submitted). Efficient nonlinear manifold reduced order modelAdvances in Neural Information Processing Systems. 
  • Kim, Y., Choi, Y., Widemann, D., & Zohdi, T. I. (Submitted). A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoderJournal of Computational Physics. 
  • Maeshima, T.*Kim, Y.*, & Zohdi, T. I. (2020). Particle-scale numerical modeling of thermo-mechanical phenomena for additive manufacturing using the material point method. Computational Particle Mechanics, 1-11. (*Equal contribution) 
  • Kim, Y., Alcantara, D., & Zohdi, T. I. (2020). Thermal state estimation of fused deposition modeling in additive manufacturing processes using Kalman filters. International Journal for Numerical Methods in Engineering. 
  • Jeon, H., Kim, Y. & Lim, G. (2016). Continuous particle separation using pressure-driven flow-induced miniaturizing free-flow electrophoresis (PDF-induced μ-FFE). Scientific reports, 6. 
  • Seong, Y., Kim, Y., German, R., Kim, S., Kim, S. G., Kim, S. J., … & Park, S. J. (2016). Dominant mechanisms of the sintering of copper nano-powders depending on the crystal misalignment.Computational Materials Science,123, 164-175. 


  • “A particle separation device using pressure-driven flow-induced miniaturizing free-flow electrophoresis (PDF-induced μ-FFE)”, Lim, G., Jeon, H. & Kim, Y.Republic of Korea Patent 10-1796184 (2017)