AI-Enabled Smart Material, Energy and System Design

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AI-Enabled Smart Material, Energy and System Design

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Journal: International Journal of AI for Materials and Design

Submission Deadline: 31 December 2025

Special Issue Editors

Dong Wang

Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China

Interests:

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

Profile:

Zhimin Du is an associate professor at the Institute of Refrigeration and Cryogenic Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University. He concurrently serves on the council of the Shanghai Association of Refrigeration as Deputy Secretary-General and Vice-Chair of its Academic Committee. After earning his B.S. and M.S. from Xi’an Jiao Tong University and his Ph.D. from Shanghai Jiao Tong University, he spent 2014–2015 as a visiting scholar at the National Institute of Standards and Technology (NIST) in the United States.

Dr. Du has spearheaded numerous projects funded by the National Natural Science Foundation of China, as well as key initiatives of the Ministry of Education, the Ministry of Science and Technology, and several high-profile international and industrial collaborations. Among his accolades are the 2013 Osaka Research Center “Achievement Award – Gold Prize” from Daikin Industries, Japan; the NIST “NBS Entropy Award” (2015); the Shanghai “Pujiang Talent” Award (2017); the Chinese Association of Refrigeration’s Outstanding Young Scientist Award (2017); and the Best Paper Award at the 12th ISHVAC International Conference (2023).

His research centers on AI-driven building energy systems, large-scale models for the built environment, big-data analytics in building energy, optimal control and energy-saving strategies for HVAC&R systems, predictive fault detection and health management in refrigeration and air-conditioning, and the broader field of 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

Profile:

Prof. Danni Chang is an Associate Professor and Vice Dean of the School of Design at Shanghai Jiao Tong University. She obtained her Bachelor's degree in Mechanical Engineering from Tsinghua University and her PhD degree from the Design and Human Factors Lab at Nanyang Technological University, Singapore. Prof. Chang has been awarded the Shanghai "Pujiang Talent" (2017), Shanghai "Chenguang Scholar" (2018), Shanghai Jiao Tong University "Morning Star Scholar" (2019), Shanghai Jiao Tong University "Outstanding Young Professional" (2023). Her teaching excellence has been honoured with the National Teaching Achievement Award and Shanghai Outstanding Teaching Achievement Award. She has guided students to win over 20 domestic and international design competition awards. As a principal investigator, she has led multiple research projects funded by the National Natural Science Foundation of China (NSFC), the Ministry of Education Philosophy and Social Science Foundation, and the Shanghai Philosophy and Social Science Foundation. She has published over 60 academic papers, and serves as a reviewer for more than 10 SCI-indexed publications. Her research interests include smart product-service systems, human-computer interaction (HCI), user study, and data-driven design innovation.

Liming Tan

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

Interests:

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

Kun Zhou

School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

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