Other affiliations: Polaris Industries, Center for Advanced Studies Research and Development in Sardinia, University of Konstanz
Bio: Bruno D'Aguanno is an academic researcher from VIT University. The author has contributed to research in topics: Thermal energy storage & Structure factor. The author has an hindex of 24, co-authored 62 publications receiving 1723 citations. Previous affiliations of Bruno D'Aguanno include Polaris Industries & Center for Advanced Studies Research and Development in Sardinia.
Papers published on a yearly basis
TL;DR: In this article, three-dimensional interconnected graphite composite foam as a heat conductive matrix was fabricated by using low cost polymeric precursors and polyurethane (PU) foam as carbon source and sacrificial macroporous template, respectively.
TL;DR: In this article, the surface chemical parameters (dissociation constant of the acidic carboxylic groups, total density of ionizable sites and Stern capacitance) are determined from fits of a Stern layer model to the titration data.
Abstract: In this paper we report on the charging behavior of latex particles in aqueous suspensions. We use static light scattering and acid–base titrations as complementary techniques to observe both effective and bare particle charges. Acid–base titrations at various ionic strengths provide the pH dependent charging curves. The surface chemical parameters (dissociation constant of the acidic carboxylic groups, total density of ionizable sites and Stern capacitance) are determined from fits of a Stern layer model to the titration data. We find strong evidence that the dissociation of protons is the only specific adsorption process. Effective particle charges are determined by fits of integral equation calculations of the polydisperse static structure factor to the static light scattering data. A generalization of the Poisson–Boltzmann cell model including the dissociation of the acidic surface groups and the autodissociation of water is used to predict effective particle charges from the surface chemical parameters determined by the titration experiments. We find that the light scattering data are best described by a model where a small fraction of the ionizable surface sites are sulfate groups which are completely dissociated at moderate pH. These effective charges are comparable to the predictions by a basic cell model where charge regulation is absent.
TL;DR: In this paper, a reinterpretation of given experimental results for SM(k) is given in terms of a size and charge polydisperse model and the systematic analysis of the effects of polydispersity on SM (k).
Abstract: Experimental information on the microscopic structure of charged colloidal dispersions is usually extracted from the intensity of scattered light l(k) which can be linked to the ‘measured structure factor’SM(k). A reinterpretation of given experimental results for SM(k) is given in terms of a size and charge polydisperse model and the systematic analysis of the effects of polydispersity on SM(k). In our model, the interaction between macroions is assumed to be of a Yukawa type and the polydispersity is characterised by histograms with standard deviations from 10 to 40% with up to 10 components. The partial structure factors Sαβ(k) are evaluated by solving the multicomponent Ornstein–Zernike (OZ) equations in connection with the thermodynamically self-consistent closure of Rogers–Young (RY). The accuracy of the RY approximation is demonstrated by comparing the results with simulation data on monodisperse Yukawa systems. The results for SM(k) for polydisperse systems show significant differences from results obtained by treating the systems as being monodisperse. For SM(k) a large increase is found at small k as well as a shift in the main peak. These features are discussed in terms of the fluctuation and scattering abilities of each component of the dispersion. The role played by the charge and the size polydispersity is also analysed by introducing the generalised Bhatia–Thornton structure factors. Finally, SM(k) is compared with scattering data. Quantitative agreement is found for all k values and, in particular, in the range of small k in which all one-component models are particularly inaccurate. The difference between SM(0) for a polydisperse system and the isothermal osmotic compressibility is emphasised.
TL;DR: In this article, two electric arc furnace slag samples have been considered and characterized to be used in medium and high temperature thermal energy storage systems for industry waste heat recovery and in renewable energy applications.
TL;DR: In this paper, the authors derived a semi-empirical equation to describe the performance curves of polymer electrolyte membrane fuel cells (PEMFCs) based on the observation that the main non-linear contributions to the cell voltage deterioration of H2/air feed cells are deriving from the cathode reactive region.
01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.
TL;DR: In this paper, the analysis and modeling of small-angle scattering data from colloidal particles or polymers in solution are discussed and the basic principles of linear and non-linear least-squares methods are summarized with emphasis on applications in the analysis of small angle scattering data, including indirect Fourier transformation, square root deconvolution, size distribution determinations, and modeling.
TL;DR: This Review provides a critical examination of the various interparticle forces (van der Waals, electrostatic, magnetic, molecular, and entropic) that can be used in nanoscale self-assembly.
Abstract: The ability to assemble nanoscopic components into larger structures and materials depends crucially on the ability to understand in quantitative detail and subsequently "engineer" the interparticle interactions. This Review provides a critical examination of the various interparticle forces (van der Waals, electrostatic, magnetic, molecular, and entropic) that can be used in nanoscale self-assembly. For each type of interaction, the magnitude and the length scale are discussed, as well as the scaling with particle size and interparticle distance. In all cases, the discussion emphasizes characteristics unique to the nanoscale. These theoretical considerations are accompanied by examples of recent experimental systems, in which specific interaction types were used to drive nanoscopic self-assembly. Overall, this Review aims to provide a comprehensive yet easily accessible resource of nanoscale-specific interparticle forces that can be implemented in models or simulations of self-assembly processes at this scale.
TL;DR: Technical Challenges 4754 4.2.1.
Abstract: 3.8.2. Temperature Distribution Measurements 4749 3.8.3. Two-Phase Visualization 4750 3.8.4. Experimental Validation 4751 3.9. Modeling the Catalyst Layer at Pore Level 4751 3.10. Summary and Outlook 4752 4. Direct Methanol Fuel Cells 4753 4.1. Technical Challenges 4754 4.1.1. Methanol Oxidation Kinetics 4754 4.1.2. Methanol Crossover 4755 4.1.3. Water Management 4755 4.1.4. Heat Management 4756 4.2. DMFC Modeling 4756 4.2.1. Needs for Modeling 4756 4.2.2. DMFC Models 4756 4.3. Experimental Diagnostics 4757 4.4. Model Validation 4758 4.5. Summary and Outlook 4760 5. Solid Oxide Fuel Cells 4760 5.1. SOFC Models 4761 5.2. Summary and Outlook 4762 6. Closing Remarks 4763 7. Acknowledgments 4763 8. References 4763
TL;DR: In this article, the authors present a review of recently achieved progress in the field of soft condensed matter physics, and in particular on the study of the static properties of solutions or suspensions of colloidal particles.