Reliability Modeling of Complex Systems in Materials and Devices

Dear Colleagues,

As its name implies, “Complex Systems” are the systems consisting of multifold materials and components interacting with each other in complicated ways. They exist widely in all kinds of vital industries, including aerospace, civil, transport, energy, intelligent manufacturing and semiconductors. Driven by modern technologies, the complexity of those systems has increased dramatically, making reliability design and their optimization a great challenge in practical situations. On the other hand, numerous fantastic solutions on reliability analysis and evaluation have also emerged with the rapid advancement of technologies such as numerical simulations, big data, intelligence design, physics-of-failure modeling, and the multi-integration of these above technologies. By virtue of these methods, the reliability problems of complex systems could be tackled with great opportunities.

To extend the understanding of complex system reliability, reliability studies worldwide on advanced theory, models and algorithms for products at material, and component and system levels are particularly welcome in this Special Issue. The topics of interest include, but are not limited to:

• Artificial intelligence based reliability modeling;
• Physics-informed neural network for physics of failure;
• Multi-physics and multi-scale simulation;
• Reliability modeling, assessment and validation;
• Design for reliability;
• Prognostics and health management;
• Digital twins;
• Energy storage materials, devices, modules and systems;
• Electronic packaging materials, devices and modules;
• Wide bandgap semiconductor devices, modules and systems;
• Electric products and systems;
• Mechanical products and systems;
• AI systems.

Dr. Cheng Qian
Dr. Jiajie Fan
Dr. Dezhen Yang
Guest Editors

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