Guest Editor(s)
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- Prof. Rui Huang
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX, USA.
Website | E-mail
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- Prof. Wei Gao
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
Website | E-mail
Special Issue Introduction
Among the many unique and attractive properties of 2D materials, mechanical properties play important roles in manufacturing, integration and performance for their potential applications. The coupling between the mechanical and other physical properties (thermal, electronic, optical) is also of great interest in exploring novel applications. Moreover, mechanical interactions between 2D materials and various substrate materials are essential for integrated device applications of 2D materials, for which the mechanics of interfaces (adhesion and friction) has to be developed for the 2D materials. With atomically thin 2D layers in atomically close proximity, the chemical, physical, and mechanical interactions simultaneously evolve and influence each other, leading to a wide range of topological structures and properties across nano- and micro-scales. Continual advances in 2D materials research require a multiscale, multidisciplinary effort, including recent developments in artificial intelligence and machine learning based techniques. We look forward to assembling a representative set of research publications aimed at highlighting the latest findings in 2D materials using multiscale models and machine learning approaches with a focus on the mechanical properties and mechanical interactions at interfaces. Specific areas to be covered include, but are not limited to:
● Multiscale modeling of defects, strength and toughness of 2D materials
● Multiscale coupling between mechanical properties and other physical properties of 2D materials
● Multiscale modeling of adhesion and friction of 2D materials
● Multilayer 2D materials and van der Waals heterostructures
● Machine-learning potentials for modeling 2D materials
● AI and data-driven methods for 2D materials
Keywords
2D materials, mechanical properties, multiscale modeling, machine learning
Submission Deadline
31 Jul 2023