Seventeenth Conference on the Foundations of Nanoscience (FNANO 2020)
Abstract
SUPPORT OF THE SEVENTEENTH CONFERENCE ON THE FOUNDATIONS OF NANOSCIENCE (FNANO20). Approved for Public Release by PI John H Reif. OBJECTIVES: This project is for partial support of travel expenses and registration fees for keynote speakers, and registration fees for invited speakers at the Conference on Foundations of Nanoscience (FNANO 2020), Snowbird, Utah, from April 6-9, 2020. FNANO was established by the International Society for Nanoscale Science, Computation, and Engineering in 2004 as a venue for the wide range of researchers interested in various aspects of self-assembly as it relates to nanoscience and nanotechnology. The meeting features 12 tracks covering recent work in different types of self-assembled architectures and devices, at scales ranging from nano-scale to meso-scale. Methodologies include both experimental as well as theoretical approaches. The conference spans traditional disciplines including chemistry, biochemistry, physics, computer science, mathematics, and various engineering disciplines. The emphasis is on basic, rather than applied research. Last year~s meeting attracted ??? registered participants. The attendees are active researchers from academia, industry, and government labs. APPROACHES: The goal of the FNANO 2020 meeting is to have impact on the emerging fields of nanoscience and self-assembly by bringing together leading nano-scientists and researchers working in a wide variety of areas of self-assembly. The common focus for FNANO is self-assembly, which many nano-scientists think has enormous potential to revolutionize nanofabrication. Top-down methods for construction of nanostructures, such as e-beam lithography, have inherent limitations in scale. Bottom-up methods such as self- assembly appear to have no such scale limitations. While top-down methods are well understood and widely used in engineering and manufacturing processes, self-assembly is a much less well- understood construction process. Although self-assembly is the cornerstone of biological complexity, the ~rational~ self-assembly methods that can be applied to arbitrary materials/structures (for example, for the self-assembly of lipid or polymer layers) result in structures with limited complexity. FNANO 2020 will have a mixture of invited talks by distinguished nano-scientists as well as contributed posters and open discussion periods to enhance attendee interaction with the goal of creating vibrant intellectual community in the area of self- assembly. The high quality of the conference is ensured by: track chairs who are responsible for selection of excellent presenters with new results to share; vigorous discussions managed by the track chairs, and annual review of and changes in the track topics to keep them fresh and up-to-date Minorities, women, and persons with disabilities will be included and encouraged to participate. ANTICIPATED OUTCOMES: Nanoscience is at the core of an emerging discipline that brings together researchers from all the branches of engineering as well as from chemistry, physics, biology, computer science, and even mathematics. These cross-disciplinary interactions are crucial for the advancement of nanoscience, but often work that is published in one area is not readily accessible to researchers in another area. Fostering such interactions between individual researchers is the main goal for the FNANO conference series. By bringing top researchers from a variety of fields together in a stimulating environment, with an emphasis on breaking results and discussion, the conference helps researchers communicate new ideas and techniques swiftly and form research collaborations. Results will be disseminated via conference proceedings (flash drives), to the attendees. IMPACT ON DOD CAPABILITIES: Relevance to the Navy and specifically to ONR, Warfighter Performance (Code 34): Nanoscience has the potential to revolutionize the development of materials, devices and detectors at the molecular scale.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 16, 2019
- Source ID
- N000142012039
Entities
People
- John Reif
Organizations
- Duke University
- Office of Naval Research
- United States Navy