Research Interests
The three research institutes in the fields of AI, secondary battery materials, and hydrogen/low-carbon energy take the lead in carrying out comprehensive research for POSCO Group's core businesses.
Manufacturing AI
Optimization of end-to-end production and operation through implementation of automation-based efficiency and digital twin modeling
Automation
•Four major types of mobility autonomous driving
•Manufacturing automation
Facility Diagnosis / Quality Prediction
•Facility abnormality analysis/prediction
•Quality diagnosis and defect tracking
Energy Optimization
•Energy use optimization
•Energy production optimization
Safety & Environment
•Safety detection and prevention of safety threats
•Quality diagnosis and defect tracking
Enterprise AI
Efficiency of overall business management
Intelligent Purchasing
•Forecasting prices of raw materials
•Pricing decisions
Product Design
•Prior quality verification
• Automated design of new products
Logistics
•Logistics simulation
•In / out logistics simulation
Marketing
•Market analysis
•Product sales optimization
Material AI
Discovery of eco-friendly future materials for secondary batteries, hydrogen, energy, etc.
Information on Materials
•Knowledge graph
•Big data learning
Discovery of New Substances
•• Assessment of potential of substances
•Molecular modeling
Robot Experiment
•Process design
•Large-scale experiments
Quality Optimization
•Quality prediction / inspection automation
•Process automation
AI Research
Learning of vast amounts of data, rational decision-making, pushing technical limits of supercomputing
Large Scale AI
•Business-specific large-volume data learning
Neuro-Symbolic AI
•Deep Learning + Knowledge Graph
Quantum AI
•Quantum-based AI algorithms
AI R&D Cluster
Open innovation research environment through industry-academia-research cooperation, research participation by adjunct professors and visiting researchers, and motivation for start-up entrepreneurship opportunities
