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Erokhin V.,CNR Institute of Materials for Electronics and Magnetism
AIP Conference Proceedings | Year: 2015

Three applications of molymeris materials for the unconventional computing are considered, namely, organic memristive devices, nanoengineered polymeric capsules and hybrid systems polymer - slime mold. © 2015 AIP Publishing LLC. Source

Bosi M.,CNR Institute of Materials for Electronics and Magnetism
RSC Advances | Year: 2015

Nanosheet materials such as graphene, boron nitride and transition metal dichalcogenides have gathered a lot of interest in recent years thanks to their outstanding properties and promises for future technology, energy generation and post-CMOS device concepts. Amongst this class of materials transition metal dichalcogenides based on molybdenum, tungsten, sulfur and selenium gathered a lot attention because of their semiconducting properties and the possibility to be synthesized by bottom up techniques. Vapour phase processes such as chemical vapour deposition permit to produce high quality layers and to precisely control their thickness. In order to target industrial applications of transition metal dichalcogenides it is important to develop synthesis methods that allow to scale up wafer size, and eventually integrate them with other technologically important materials. This review will cover all the currently proposed methods for the bottom up synthesis of transition metal dichalcogenides from the vapour phase, with particular emphasis on the precursors available and on the most common semiconductor techniques like metal organic chemical vapour deposition and atomic layer epitaxy. A summary of the most common characterization technique is included and an overview of the growth issues that still limit the application of TMD is given. © The Royal Society of Chemistry 2015. Source

Erokhin V.,CNR Institute of Materials for Electronics and Magnetism
International Journal of Unconventional Computing | Year: 2013

Qualitative illustration of the difference between "adult" and "baby" learning, previously observed for stochastic 3D networks of matrices of block co-polymers, conducting polymers and gold nanoparticles, is presented. The model assumes the formation of stable multi-pathway channels in the case of "baby" learning and dynamic equilibrium of single signal pathways in the case of "adult" learning. ©2013 Old City Publishing, Inc. Source

Barbieri E.S.,University of Ferrara | Melino F.,CNR Institute of Materials for Electronics and Magnetism | Morini M.,University of Ferrara
Applied Energy | Year: 2012

In recent years, cogeneration systems have gained increasing attention especially when dealing with distributed generation for residential buildings. One of the main problems with using cogenerative systems in residential building applications is that the demand for heat and electricity is not synchronized. For this reason, when the combined heat and power system operates during electricity peak hours (i.e. the rate of the electricity is higher), it could be profitable to store the heat in order to satisfy delayed demands. This paper presents a model for the calculation of the profitability of micro combined heat and power systems for residential building applications. The model takes into account hourly demands calculated by means of monthly and daily load profiles for heat and electricity. The system under consideration is composed of a CHP system, an auxiliary boiler and a heat-storage tank. The model is applied to a single-family dwelling in order to evaluate the effect of the size of the thermal energy storage unit on the energy and economic performance of four different prime movers (an internal combustion engine, a Stirling engine, a micro Rankine cycle and a thermophotovoltaic system). Thermal energy produced, electrical energy produced, self-consumed or exchanged with the grid, consumed natural gas, as well as differential cash flow with respect to separate generation and payback period are presented. The effect of the size of the thermal energy storage proves to be not linear with respect to the thermal power of the prime mover. © 2012 Elsevier Ltd. Source

Tonezzer M.,CNR Institute of Materials for Electronics and Magnetism | Iannotta S.,CNR Institute of Materials for Electronics and Magnetism
Talanta | Year: 2014

In this work we have grown particular zinc oxide two-dimensional nanostructures which are essentially a series of hexagonal very thin sheets. The hexagonal wurtzite crystal structure gives them their peculiar shape, whose dimensions are few microns wide, with a thickness in the order of 25 nm. Such kind of nanostructure, grown by thermal oxidation of evaporated metallic zinc on a silica substrate, has been used to fabricate conductometric gas sensors, investigated then for hydrogen gas detection. The "depletion layer sensing mechanism" is clarified, explaining how the geometrical factors of one- and two-dimensional nanostructures affect their sensing parameters. The comparison with one-dimensional ZnO nanowires based structures shows that two-dimensional nanostructures are ideal for gas sensing, due to their tiny thickness, which is comparable to the depletion-layer thickness, and their large cross-section, which increases the base current, thus lowering the limit of detection. The response to H2 has been found good even to sub-ppm concentrations, with response and recovery times shorter than 18 s in the whole range of H 2 concentrations investigated (500 ppb-10 ppm). The limit of detection has been found around 200 ppb for H2 gas even at relatively low working temperature (175 C). © 2014 Elsevier B.V. Source

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