Nanoscale Ag–Pd and Cu–Pd alloys

Nanoparticles of Ag-Pd and Gu-Pd alloys with diameters in the 5-40 nm range have been prepared over the entire range of compositions, by employing the heterogeneous reaction of dry methanol or ethanol with intimate mixtures of AgNO3+PdOx and CuOx+PdOx, respectively. The nanoscale alloys have been characterized by energy-dispersive Xray (EDX) analysis, transmission electron microscopy (TEM) and X-ray diffraction (XRD). All the alloy particles possess the fee structure and can be obtained in bulk quantities.

Sufficient conditions for formation of a network topology by self-interested agents

Networks such as organizational network of a global company play an important role in a variety of knowledge management and information diffusion tasks. The nodes in these networks correspond to individuals who are self-interested. The topology of these networks often plays a crucial role in deciding the ease and speed with which certain tasks can be accomplished using these networks. Consequently, growing a stable network having a certain topology is of interest. Motivated by this, we study the following important problem: given a certain desired network topology, under what conditions would best response (link addition/deletion) strategies played by self-interested agents lead to formation of a pairwise stable network with only that topology. We study this interesting reverse engineering problem by proposing a natural model of recursive network formation. In this model, nodes enter the network sequentially and the utility of a node captures principal determinants of network formation, namely (1) benefits from immediate neighbors, (2) costs of maintaining links with immediate neighbors, (3) benefits from indirect neighbors, (4) bridging benefits, and (5) network entry fee. Based on this model, we analyze relevant network topologies such as star graph, complete graph, bipartite Turan graph, and multiple stars with interconnected centers, and derive a set of sufficient conditions under which these topologies emerge as pairwise stable networks. We also study the social welfare properties of the above topologies.