4.E.1 Seed Funding and Emerging Areas For C-SPIN to remain topical, we must respond to opportunities within and outside of the Center. To this end, about 10% of the budget is set aside for seed funding. New areas to pursue will be determined annually by the Executive Committee (EC) from submissions by C-SPIN or other UA/OU faculty based on the quality of the proposal and overlap with Center interests. Seed areas will target higher risk projects and emerging areas of interdisciplinary research; however, industrial outreach or educational ventures will also be considered. Seeds by junior faculty or that establish links with other disciplines have priority. The graduation of previous seeds to external funding is discussed in section 4B. Seed proposals will be solicited every twelve months but accepted at any time. The proposals themselves will be in the form of a two-page white paper which addresses the following questions: What is the overall description of the project, what are the expected measurable outcomes, and how will this project actively address emerging science and engineering issues in nanoscience? Who are the members of your interdisciplinary team and how will they actively contribute to this grant? How will this seed grant leverage support for continued research after the seed period? What is the timeline for the proposed research? And, what is the proposed budget request? Seed proposals will be reviewed by the EC and appropriate members of the External Review Board. The maximum duration of a Seed will be 2-3 years. After that, the Seed should have obtained other funding and/or junior faculty should have been incorporated into C-SPIN’s existing IRGs. Below we discuss Seed candidates for the first two years of the proposed CEMRI. They were chosen not only on merit, but also on their potential to jointly form a new IRG in future competitions. Nano-Textured Surfaces for Biological Applications (UA) M. Zou, D.K. Roper, J. Li; (OU) M.B. Johnson, D.W. Schmidtke, B. Starly; 2 graduate students Focus: To develop nanostructured surfaces for biological applications including: biosensors, biomimetic surfaces, and biologically active/inactive surfaces. Motivation: The interaction of biological systems with engineered surfaces requires the control and characterization of complex surfaces on the micro- through nano-scales, and ways to investigate the interactions of these surfaces with simplified but realistic biological systems. Breakthroughs in this highly interdisciplinary area will be important throughout the life and medical sciences. Proposed Research: The specific areas of investigation include: using 3D control of surfaces to improve the sensitivity and selectivity of biosensors; fabricating nanoelectrode arrays; patterning micron- through nano-sized 3D structures of protein ligands to mimic the structure of vascular walls to understand blood cell (e.g., platelets, leukocytes) interactions with vascular walls during inflammation and thrombosis; and finally, controlling surface topography to enhance or inhibit their interactions with biological systems. E01 Biosensors: Amperometric biosensors are being developed for applications such as point-of-care diagnostics, remote sensors in environmental monitoring, and warning systems against chemical/biological warfare agents. For such biosensors to be useful, they must be portable, simple to operate, and make measurements in a natural environment. Thus it is necessary to miniaturize these sensors, which necessitates that the sensor exhibits high sensitivity and produces a signal that is measurable with low-cost portable electronics. Two ways to increase the sensor output are to increase the sensor surface areaE02 and the enzyme loading.E03 Both of these can be achieved by expanding the sensor surface to into 3D structures. The techniques involved to achieve this architecture include: near-field direct writing of electrospun poly(3,4-ethylenedioxythiophene) (PEDOT) nanofibers (Starly); layer-by-layer deposition of redox enzymes and redox polymers (Schmidtke)E04,5 as coatings to these nanofibers or 2D layers between nanofibers; incorporation of single- E04-6 and multi-walled carbon nanotubes (Schmidtke). Figure E1-1 shows a schematic of such a 3D structure. Additionally we will also fabricate gold nanoelectrode arrays (NEAs, ordered nanoelectrode distribution) and nanoelectrode ensembles (NEEs, random nanoelectrode E1-1. Biosensor in distribution) by e-beam (Johnson, Roper) and/or particle lithography (Roper, Fig. cross-section fabricated Schmidtke). Benefits of nanoelectrodes over macro-sized electrodes include: using electrostatic layerenhanced mass transport, convection-independent responses, high signal-to-noise by-layer deposition. 4.E.1 1 of 3 ratios (S/N), fast response times; and lower-detection limits.E07 Techniques used to characterize these structures include: profilometery (Johnson), liquid/air AFM, liquid/air ellipsometry (Johnson) and FESEM. Sensor response (Schmidtke) will be measured by amperometry, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). In addition to sensitivity requirements, the mechanical properties of these layers must be sufficient to withstand the shear stress of a fast flowing fluid or the movement of a contacting biological tissue.E08 We will use air and liquid AFM (Johnson) and nanoindenting (Zou) to characterize the frictional and adhesive characteristics of these films. Biomimetics: Leukocyte adhesion to blood vessel walls plays a crucial role in a number of biological processes such as inflammation and thrombosis.E09 We will develop nanoscale protein patterning methods to mimic the vascular environment to elucidate the role of nanoscale ligand presentation in regulating leukocyte adhesion and rolling under flow. The techniques used to pattern the surfaces will include: topdown e-beam lithography (Johnson), as well as inexpensive bottom-up bead lithography (Schmidtke).E10,11 Fabrication will involve a wide range of deposition and wet- and dry-etching techniques, while characterization will involve AFM, ellipsometry and FE-SEM. Nano-indenting (Zou) and AFM in liquid will be used to directly investigate the adhesion properties of cells (attached to nanondenter and AFM tips) with the protein-patterned surfaces. Bio active/inactive Surfaces: The bioactivity of surfaces is dominated by their wetting characteristics.E012 In this thrust we develop superhydrophobic surface for biocidal applications and the wetting characteristics of surfaces with ordered porous surfaces whose pores can be used for the slow release of drugs/proteins to promote healing. Transport Theory in Graphene &Carbon Nanotube Composites (OU) K. Mullen, A. Striolo, D. Papavassilou; (UA) D.K. Roper; 1 graduate student Focus: Modeling heat transport in composites of graphene or carbon nanotubes in a polymer matrix. Motivation: The quest for high thermal conductivity (TC) materials has lead to nano-composites incorporating small amounts of nanoparticles with excellent thermal conductivity, such as carbon nanotubesE13 (CNTs) and graphene nano-ribbons (GNRs),E14 in a polymeric matrix with poor thermal conductivity. These fail due to the “Kapitza resistance” at the boundary of two dissimilar materials which produces a temperature drop across the interface proportional to the heat flux.E15,16 The effect is large when the two materials have a large difference in elasticity. When this resistance will be minimized, heavy metallic components used in car radiators and other heat exchangers will be replaced with light advanced composites. Proposed Research: Chemical functionalization of GNRs and CNTs would allow a transitional region that would effectively match phonon modes inside and outside the nano-scale filler. We plan to address the theory of this problem on three levels: Optimizing Side Chains: On the smallest scale we plan to study the side chains that optimally couple the filler to the matrix. Shown in Fig. E1-2 is a model of a carbon nanotube with simple alkanes attached to either end. By studying the low energy normal Fig. E1-2: Top: CNT modes of this system we can learn how to optimize their functionalized participation ratioE17,18, Modes with a large participation ratio with alkane end chains; efficiently couple vibrations outside the CNT to the interior, Middle: a “poor” mode (low where they propagate at high velocity. Continuum models indicate participation ratio) -interior motion not that a large linear mass density can improve phonon coupling.E19 coupled to the exterior side chains; We will investigate if this can be achieved by branched organic Bottom: a “good” mode (large side chains or using metallo-organic chains calculating the normal participation ratio) -side chains couple modes of the system and using a Langevin formalism, directly to interior motion, allowing CNT to transport energy efficiently. calculating the thermal conductivity of the system. 4.E.1 2 of 3 Optimizing the distribution of functionalizing chains: The addition of side chains to GNRs or CNTs may severely disrupt the otherwise excellent conducting properties of the pristine material. Random perturbations to 1D systems are known to cause localization of propagating waves. Thus there is a tradeoff between improving phonon transport into the filler by adding side chains and maintaining excellent transport through the filler. Wider GNRs will be less affected by such perturbations, but they might be stiffer. We will study the localization of modes both by classical analysis and using localization theory. Optimizing the distribution of functionalized fillers within the composite: Given a CNT with good thermal coupling at its ends (as in Fig. E1-2), we must optimize the composite thermal conductivity. A Monte Carlo-based algorithm, developed in house, will be employed study the thermal transport in CNT-based nanocomposites. The results will be useful for the necessary comparison to and guidance for experimental practices. Similar procedures will be adopted to optimize GS-based nanocomposites. Hierarchical Plasmonic Assemblies for Enhanced Upconversion Fluorescence (OU) L.A. Bumm, R.L. Halterman, Y.T. Yip; (UA) J. Chen, C. Heyes, D.K. Roper; 2 graduate students Focus: Using solution growth, selective surface chemistries, nano- fabrication and characterization techniques to develop plasmonic assemblies to enhance the conversion of two photons into a single photon of higher frequency (upconversion). Motivation: Unlike two-photon molecular fluorescence, which requires intense optical fields, upconversion fluorophore nanoparticles (UFNs) require only modest intensities (~102 W/cm2),E20,21 and their combination with plasmonic systems promises to further reduce the required excitation intensity. Indeed enhancement has already been demonstrated experimentallyE22 and studied theoretically.E23 The key is the controlled placement of UFNs near a plasmonic structure to enhance excitation and/or emission. The NIR excitation also allows better utilization of the optical range of both Ag and Au plasmonic systems. UFNs have applications in biological imaging, in security tags and in video displays. Proposed Research: We plan to control the placement of UFNs in the plasmon near-field of the assembly and to study the plasmon resonances, fluorescence yield and lifetime of the resulting structure. Our specific areas of interest include: controlled placement of fluorophores on plasmonic nanoparticles (rods and core-shell), in plasmonic nanoparticle dimers (homo and hetero dimers), and in plasmonic nanoparticle arrays; selective enhancement of upconversion fluorescence excitation and emission, and plasmon mediated FRET to additional conventional fluorphores. UFNs, grown by known methods (Chen, Halterman)E20,22 will be used in this work. Gold nanorods exhibit a long wavelength plasmon resonance and shorter wavelength transverse and multimode longitudinal resonances,E24 which can be tuned by varying the length and diameter of the rods. Shape selective surface chemistryE25 (Halterman) will be used to target attachment of the UFN to the end or side of the rod. The longitudinal plasmon resonance will be tuned to the excitation wavelength, while the transverse resonance will be tuned to the desired emission wavelength. These and other assemblies will be characterized by single nanoparticle scattering (Bumm) and fluorescence (Heyes, Yip) guided by computational modeling (Roper).E26 UFNs will be combined with tuned core-shell NPs, cubes, and other shaped NPs (Chen)E27 and will be explored and characterized (Bumm, Heyes, Yip). Nanoparticle dimers (Chen, Halterman) can be used to concentrate the energy on an NC bound in the gap. For example end-to-end nanorod dimers show intense fields in the gap which will be utilized to enhance the UFN emission.E28 Asymmetrical dimers (size, shape, and composition—Au, Ag, Ag/Au alloys) will have symmetric and asymmetric modes that can be tuned to the UFN excitation and emission. NP arrays (Roper) will be fabricated by EBL, NSL, and NIL will increase the plasmon enhancements by superposition of coherent scattered photons and to position the UFNs in enhanced field regions.E29 A molecular “resist” activated by nonlinear photochemistry (Halterman) will directly use the enhanced fieldsE30 in the NP array to target the attachment of NCs to the Fig. E1-3. Diagrams of several example plasmonic assemblies. active regions, e.g. photo-deprotection of amines.E31 4.E.1 3 of 3