Metamaterials are man-made structures with unprecedented properties that are rarely seen in natural materials. These unusual material properties are in essence derived from their microstructural geometry, instead of from their material composition. Through elaborate structure design, metamaterials are able to possess exotic behaviors such as the ability to control wave propagation in acoustic media, or simultaneously achieve high strength and toughness. As a result, metamaterials represent a new avenue to materials development which is different from the conventional way that solely relied on the modifications of material composition to alter material properties. With the rapid advance of additive manufacturing techniques, a variety of metamaterials with complex microstructures have been proposed.
For metamaterials development, theoretical modeling or simulations also play a significant role in guiding the metamaterial design and optimization process. However, it is very challenging for theory and simulations to achieve the fast search of metamaterials with optimal performance to replace the trial-and-error experiments. In particular, the decreasing sizes of micro- or nano-metamaterials enabled by the state-of-the-art additive manufacturing techniques pose a new challenge to the prediction accuracy of the properties of effective materials which were associated with the widely reported size effect or its hierarchical microstructures.
This research topic aims to solicit state-of-the-art developments in the broad field of theoretical modeling and simulation for metamaterials. Areas covered in this Research Topic include, but are not limited to:
• Metamaterials design and optimization
• Advanced multi-scale simulation methods
• Fast search or optimization method for metamaterial properties
• Combined experimental and computational studies
• Machine learning assisted discovery of metamaterials
Keywords:
Metamaterials, modeling approach, advanced manufacturing, structure optimization, advanced design
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Metamaterials are man-made structures with unprecedented properties that are rarely seen in natural materials. These unusual material properties are in essence derived from their microstructural geometry, instead of from their material composition. Through elaborate structure design, metamaterials are able to possess exotic behaviors such as the ability to control wave propagation in acoustic media, or simultaneously achieve high strength and toughness. As a result, metamaterials represent a new avenue to materials development which is different from the conventional way that solely relied on the modifications of material composition to alter material properties. With the rapid advance of additive manufacturing techniques, a variety of metamaterials with complex microstructures have been proposed.
For metamaterials development, theoretical modeling or simulations also play a significant role in guiding the metamaterial design and optimization process. However, it is very challenging for theory and simulations to achieve the fast search of metamaterials with optimal performance to replace the trial-and-error experiments. In particular, the decreasing sizes of micro- or nano-metamaterials enabled by the state-of-the-art additive manufacturing techniques pose a new challenge to the prediction accuracy of the properties of effective materials which were associated with the widely reported size effect or its hierarchical microstructures.
This research topic aims to solicit state-of-the-art developments in the broad field of theoretical modeling and simulation for metamaterials. Areas covered in this Research Topic include, but are not limited to:
• Metamaterials design and optimization
• Advanced multi-scale simulation methods
• Fast search or optimization method for metamaterial properties
• Combined experimental and computational studies
• Machine learning assisted discovery of metamaterials
Keywords:
Metamaterials, modeling approach, advanced manufacturing, structure optimization, advanced design
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.