Comparative techno-economic analysis and optimization of CO liquefaction processes using Bayesian optimization

Sung Hyun Ju, Jisung Byun, Seokjin Yoon, Heesung Kim, Unpil Hwang, Minji Kim, Mina Kong, Jong Min Lee* │  Computers & Chemical Engineering │  109770

An analysis of the impact of dataset distribution on offline reinforcement learning in process control

Joonsoo Park, Junseop Shin, Jaehyun Shim, Jong Min Lee* │  Computers & Chemical Engineering │  109748

Automated generative process synthesis via transformer-based dual-loop simulation and optimization

Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee* │  AIChE Journal │  e70489

TalkToAgent: A multi-agent LLM Framework for natural language explanation of reinforcement learning policies

Haechang Kim, Hao Chen, Can Li*, Jong Min Lee* │  Computers & Chemical Engineering │  109672

Q-learning-based stochastic model predictive control for green ammonia production

Hyun Min Park, Tae Hoon Oh, Jong Min Lee* │  Journal of Process Control │  103672

Real-world implementation of offline reinforcement learning for process control in industrial dividing wall column

Joonsoo Park, Wonhyeok Choi, Dong Il Kim, Ha El Park, Jong Min Lee* │  Computers & Chemical Engineering │  109383

Steady-state modeling and simulation of the integrated isotope separation and water detritiation systems: Parametric studies and performance analysis

Gwanghyeon Kwon, Yeong Woo Son, Jae-Uk Lee, Min Ho Chang, Jae Jung Urm, Jong Min Lee* │  Fusion Engineering and Design │  115513

Surrogate modeling of slot-die coating manifold for lithium-ion battery manufacturing using mode extraction methods

Sung Hyun Ju, Kyengmin Min, DongWoo Kim, Jaewook Nam*, Jong Min Lee* │  Chemical Engineering Science │  122459

Generative transformer-based deep hierarchical VAE model for the automated generation of chemical process topologies

Yeong Woo Son, Ji Hun Pak, Chan Kim, Jong Min Lee* │  Computers & Chemical Engineering │  109431