| Scope |
Low-dimensional (0D, 1D, 2D) materials are a broad class of materials with emergent properties originating from their reduced physical dimensions and (sub)nanoscale structures and morphologies. These low-dimensional materials offer exciting new opportunities for innovations in the technological frontiers critical for the sustainable future advancement of society, such as nano-optoelectronics, sustainable energy, high-performance sensors, and advanced environmental and healthcare technologies.
The 2023 Symposium on Functional Nanomaterials will address all aspects of low-dimensional nanomaterials, encompassing: two-dimensional (2D), nanofilms, nanosheets, and monolayers, one-dimensional (1D) nanofibers, nanotubes, and nanowires, zero-dimensional (0D) nanoparticles and quantum dots, as well as their hierarchical assemblies, heterostructures, frameworks, and organic-inorganic hybrids.
Along with sessions for conventional nanomaterials, focused sessions will be dedicated to unique design/synthesis/fabrication/manufacturing/characterization strategies, novel integration routes for emerging functionalities, and advanced device applications. Examples of welcomed session topics include but are not limited to:
Examples of session topics include but are not limited to:
•Nanomaterials for high-performance functional devices.
•Applications, functional devices (e.g., electronics) and engineered systems derived from low-dimensional materials
•Processing/manufacturing (e.g, printing or lithography) and integration/application of low-dimensional materials and instrumentation/methods to achieve the same.
•Hierarchical multi-scale structures and architectures consisting of low-dimensional materials
•Interrogation of low-dimensional materials and their fundamental properties via in situ, in operando methods towards the development of emergent functionalities.
•Theoretical frameworks and computational/learning/data-intensive methods
for modeling, predicting, understanding, and designing low-dimensional materials and their derivative systems. |