Kundo Park

Deep learning framework for material design space exploration using active transfer learning and data augmentation

Yongtae Kim, Youngsoo Kim, Charles Yang et al. · npj Computational Materials · 2021 · 159 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks

Jiyoung Jung, Kundo Park, Byungjin Cho et al. · Journal of Intelligent Manufacturing · 2022 · 40 citations

Industrial Design, Engineering, Industrial Engineering +12

Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI

Kundo Park, Chihyeon Song, Jinkyoo Park et al. · Materials Horizons · 2023 · 33 citations

Engineering, Mechanical Engineering, Material Selection +18

Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization

Kundo Park, Youngsoo Kim, Minki Kim et al. · Composites Science and Technology · 2022 · 32 citations

Gaussian Process Regression, Engineering, Bayesian Optimization +6

Coupled health monitoring system for CNT-doped self-sensing composites

Kundo Park, Diego Scaccabarozzi, Claudio Sbarufatti et al. · Carbon · 2020 · 30 citations · Full text

Materials Science, Biomedical Sensors, Engineering +4