Da Seul Shin

Optimizing laser powder bed fusion of Ti-5Al-5V-5Mo-3Cr by artificial intelligence

Da Seul Shin, Chi Hun Lee, U. Kühn et al. · Journal of Alloys and Compounds · 2020 · 52 citations

Engineering, Materials Engineering, Materials Science +11

Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steels

Im Doo Jung, Da Seul Shin, Doohee Kim et al. · Materialia · 2020 · 41 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Investigation and two-stage modeling of sintering behavior of nano/micro-bimodal powders

Joo Won Oh, Yujin Seong, Da Seul Shin et al. · Powder Technology · 2019 · 37 citations

Engineering, Materials Engineering, Materials Science +14

Inverse design of Bézier curve-based mechanical metamaterials with programmable negative thermal expansion and negative Poisson's ratio <i>via</i> a data augmented deep autoencoder

Min Woo Cho, Keon Ko, Majid Mohammadhosseinzadeh et al. · Materials Horizons · 2024 · 29 citations · Full text

Computing, Materials Engineering, Mechanical Engineering +17

Rheological and thermal debinding behaviors of silicon nitride in powder injection molding

Chang Woo Gal, Joo Won Oh, Gi Woung Song et al. · Ceramics International · 2019 · 21 citations

Engineering, Materials Engineering, Materials Science +10