AI-Enabled Smart Material, Energy and System Design

Fabrication; Modeling and design of soft robotics; 4D printing of lattice structures; Development of high-resolution; Multi-material; 3D printing stage

Liang Wang

School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

Interests:

Advanced composite materials; Structural mechanics; Numerical calculation method; Data-driven optimization; Soft matter mechanics; 3D/4D printing

Zhimin Du

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Interests:

AI for energy system; Data mining and machine learning; Building energy saving and intelligent control; Data science

Danni Chang

School of Design, Shanghai Jiao Tong University, Shanghai, China

Interests:

Artificial intelligence for design; Smart product service system; Cross-device interaction; Product innovation strategy

Liming Tan

Powder Metallurgy Research Institute, Central South University, Shanghai, China

Interests:

AI; Big data; Advanced materials; Alloys; Additive manufacturing; Powder metallurgy

Kun Zhou

Nanyang Technological University

Interests:

Additive manufacturing; Mechanics of materials; Modeling and simulation

Special Issue Information

The fields of material, energy and structural design have experienced rapid advancements in recent years. The infusion of artificial intelligence (AI) into material, energy and structural design represents a paradigm shift in how materials, energy and structures are conceived, characterized, and modeled, which offers novel methodologies for understanding, predicting, and optimizing material properties, structural designs, energy saving and carbon emission reducing. These core advancements are further integrated into smart systems, where AI plays a pivotal role in human-AI collaboration and the development of smart products and service systems. This special issue aims to compile recent applications of AI technologies in the realm of materials, energy, structural, and product design. Topics of interest include, but are not limited to, the following areas:

AI-based materials design and characterization
AI-enabled structural design
AI-based energy control and management
Smart energy and smart cities
Human-AI collaboration
Smart products and service systems
Data-driven simulation and modeling

Keywords

Artificial intelligence

Energy management

Materials design

Human-AI collaboration

Structural optimization

Smart energy

Smart systems

International Journal of AI for Materials and Design, Electronic ISSN: 3029-2573 Print ISSN: 3041-0746, Published by AccScience Publishing