Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane
주저자노지원, 교신저자노인수, 김정환
Applied Catalysis B: Environmental, 2024
2
Multidisciplinary high-throughput screening of metal–organic framework for ammonia-based green hydrogen production
주저자가성빈, 안나현, 교신저자김정환
Renewable and Sustainable Energy Reviews, 2024
3
Hybrid Quantum Neural Network Model with Catalyst Experimental Validation: Application for the Dry Reforming of Methane
주저자노지원, 오성현, 교신저자노인수, 김정환
ACS Sustainable Chemistry & Engineering, 2024
4
Advanced energy recovery systems design of stenter processes: Energy, exergy and Techno-economic analyses
주저자김정현, 교신저자이인규, 조형태
Energy, 2024
5
Techno-economic analysis of anion exchange membrane electrolysis process for green hydrogen production under uncertainty
주저자김민수, 이동균, 교신저자김정환
Energy Conversion and Management, 2024
6
Multiobjective Optimization of CO2 Emission and Net Profit for a Naphtha Cracking Furnace Using a Deep Neural Network with a Nondominated Sorting Genetic Algorithm
주저자주종효, 교신저자이재원, 김정환
ACS Sustainable Chemistry & Engineering, 2024
7
Hydrogen production from fishing net waste for sustainable clean fuel: Techno-economic analysis and life cycle assessment
주저자이혜정, 교신저자이재원, Eilhann E. Kwon
Chemical Engineering Journal, 2024
8
Novel waste bone recovery system for CO2 and SOx utilization in cement plants using microbubble carbonation reactor
주저자정휘경, 임종훈, 교신저자김정환
Journal of Environmental Chemical Engineering, 2024
9
Accelerating active catalyst discovery: a probabilistic prediction-based screening methodology with applications in dry reforming of methane
박현도, 노지원
Journal of Materials Chemistry A, 2024
10
A novel on-site SMR process integrated with a hollow fiber membrane module for efficient blue hydrogen production: Modeling, validation, and techno-economic analysis