| Scope |
Low-dimensional (0D, 1D, 2D) materials are a broad class of materials with emergent properties originating from their reduced physical dimensions, unique morphologies, and tunable chemistry. These low-dimensional materials offer exciting new opportunities for innovations in the technological frontiers critical for the sustainable future advancement of society, such as sustainable energy generation and storage applications, nano-optoelectronic devices, high-performance sensors, and advanced environmental and healthcare technologies.
The 2027 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 session topics include but are not limited to:
- Atomically Precise Nanostructures: From Defect Engineering to Quantum Functionality
- Strategies to design and synthesize nanomaterials in which the placement of atoms, interfaces, and defects is not incidental but deliberate.
- Use of defects as the primary design parameter for next-generation nanomaterials with tunable and often emergent quantum behavior.
- Multiscale Architectures with Nanomaterials
- Hierarchical nanostructuring strategies for atomic- and nanoscale control emerging into macroscopic capability, especially for extreme or mission-critical applications.
- Translating nanoscale innovation into robust, scalable technologies—spanning defense, aerospace, energy, and environmental systems.
- Development strategies informed by manufacturability, durability, and cost.
- Data-Driven and Autonomous Discovery in Nanomaterials
- Spotlight on emerging paradigm of autonomous and semi-autonomous research ecosystems addressing complex design spaces.
- Coupling synthesis, characterization, modeling, and data science.
- Integrated, data-centric approaches with human insight amplified by autonomous tools, high-throughput methods, and artificial intelligence.
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