Cross-cutting Computing and data-driven engineering

Physics-based modeling

• Applied electromagnetic and acoustics (electrical and computer engineering)
• Solid-state electronics and quantum technologies (electrical and computer engineering)
• Optics and photonics (electrical and computer engineering)

Operations research and optimization

• Operations research, optimization and analytics (industrial and systems engineering)
• Optimization and control (electrical and computer engineering)

Systems and process modeling

• Computational engineering and design (mechanical engineering)

Simulation for design, optimization and automation

• Computational materials and informatics (materials science and engineering)
• Computational engineering and design (mechanical engineering)
• Advanced manufacturing and industrial AI (industrial and systems engineering)

Computer systems and architecture

Machine learning, signal processing, and information theory

• Machine learning, signal processing, and information theory (electrical and computer engineering)

Digital twins and machine learning to optimize nuclear energy system performance

Advanced modeling and simulation of materials and systems

• Theory, data science and systems (chemical and biological engineering)

High-performance computing and data-driven modeling for multi-scale, multi-physical system

• Computational engineering and design (mechanical engineering)