Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator

Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator

Yongjin Choi, Seungjun Lee

Computers and Geotechnics

Volume 195, Pages 108104, 2026

Effect of W nucleation process on the adhesion of W/TiN/SiO2 structures for BEOL interconnects

Effect of W nucleation process on the adhesion of W/TiN/SiO2 structures for BEOL interconnects

Sun Woo Lee, Dong Jun Kim, Jinho Jeon, Taek-Soo Kim

Applied Surface Science

Volume 736, 2026

Data-driven Time-variant Reliability Analysis using Deep Gaussian Processes

Data-driven Time-variant Reliability Analysis using Deep Gaussian Processes

Yongsu Jung, Mingyu Lee, Ikjin Lee

Reliability Engineering & System Safety

Volume 274, Pages 112395, 2026

System confidence-based design optimization using a multi-output Gaussian process accounting for epistemic uncertainty

System confidence-based design optimization using a multi-output Gaussian process accounting for epistemic uncertainty

Yongsu Jung, Mingyu Lee

Structural Safety

Volume 120, Pages 102697, 2026

Linear embedding-enhanced co-Kriging incorporating distinct projection matrices across fidelity levels

Linear embedding-enhanced co-Kriging incorporating distinct projection matrices across fidelity levels

Youngseo Park, Mingyu Lee, Ikjin Lee

Journal of Mechanical Design

Volume 148, Issue 9, Pages 091707, 2026

Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility

Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility

Jeong Ah Lee, Jaejung Park, Man Jae Sagong, Soung Yeoul Ahn, Jung-Wook Cho, Seungchul Lee & Hyoung Seop Kim

nature communications

Volume 16, 2025

Stress-aware graph neural network for springback prediction considering material variations

Stress-aware graph neural network for springback prediction considering material variations

Hui Wang, Heonyong Lim, Jeong Whan Yoon

Journal of Materials Processing Technology

Volume 348, Pages 119189, 2026

TREX: Tokenizer Regression for Optimal Data Mixture

TREX: Tokenizer Regression for Optimal Data Mixture

Inho Won, Hangyeol Yoo, Minkyung Cho, Jungyeul Park, Hoyun Song, KyungTae Lim

EACL

2026