41. Hexagonal lattice model of the patterns formed by hydrogen-bonded molecules on the surfaceSara Fortuna, David L. Cheung, Alessandro Troisi, 2010, izvirni znanstveni članek Opis: We model the two-dimensional self-assembly of planar molecules capable of complementary interactions (like hydrogen bonding) as a set of hexagonal tiles on a hexagonal lattice. We use Monte Carlo simulations to study the phase diagrams of three model systems. The phases are characterized using a variety of order parameters, and they are studied as a function of the strength of the complementary interaction energy. This simplified model is proven to be capable of reproducing the phases encountered in real systems, unifying within the same framework most of the structures encountered experimentally.
Ključne besede: self-assembly, self-organisation, Monte Carlo, simulation, lattice model, dicarboxilic acid, hexagonal lattice
Objavljeno v RUNG: 10.10.2016; Ogledov: 4836; Prenosov: 0
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42. An artificial intelligence approach for modeling molecular self-assembly: Agent Based simulations of rigid moleculesSara Fortuna, Alessandro Troisi, 2009, izvirni znanstveni članek Opis: Agent-based simulations are rule-based models traditionally used for the simulations of complex systems. In this paper, an algorithm based on the concept of agent-based simulations is developed to predict the lowest energy packing of a set of identical rigid molecules. The agents are identified with rigid portions of the system under investigation, and they evolve following a set of rules designed to drive the system toward the lowest energy minimum. The algorithm is compared with a conventional Metropolis Monte Carlo algorithm, and it is applied on a large set of representative models of molecules. For all the systems studied, the agent-based method consistently finds a significantly lower energy minima than the Monte Carlo algorithm because the system evolution includes elements of adaptation (new configurations induce new types of moves) and learning (past successful choices are repeated).
Ključne besede: Self-assembly, self-organisation, agent based, Monte Carlo, rigid molecules, simulation
Objavljeno v RUNG: 10.10.2016; Ogledov: 4824; Prenosov: 0
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43. Packing patterns of silica nanoparticles on surfaces of armored polystyrene latex particlesSara Fortuna, Catheline A. L. Colard, Stefan A. F. Bon, Alessandro Troisi, 2009, izvirni znanstveni članek Opis: Fascinating packing patterns of identical spherical and discotic objects on curved surfaces occur readily in nature and science. Examples include C60 fullerenes,(1, 2)13-atom cuboctahedral metal clusters,(3) and S-layer proteins on outer cell membranes.(4) Numerous situations with surface-arranged objects of variable size also exist, such as the lenses on insect eyes, biomineralized shells on coccolithophorids,(5) and solid-stabilized emulsion droplets(6) and bubbles.(7) The influence of size variations on these packing patterns, however, is studied sparsely. Here we investigate the packing of nanosized silica particles on the surface of polystyrene latex particles fabricated by Pickering miniemulsion polymerization of submicrometer-sized armored monomer droplets. We are able to rationalize the experimental morphology and the nearest-neighbor distribution with the help of Monte Carlo simulations. We show that broadening of the nanoparticle size distribution has pronounced effects on the self-assembled equilibrium packing structures, with original 12-point dislocations or grain-boundary scars gradually fading out.
Ključne besede: packing patterns, silica, simulation, Monte Carlo, order, disorder, transition, armored particles, nanoparticles, Pickering emulsion
Objavljeno v RUNG: 10.10.2016; Ogledov: 4674; Prenosov: 0
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45. “LESSONS LEARNED” (PARTIAL TEST DEPLOYMENTS REPORT) : ADRIART PROJECTTomislav Brajnović,, Peter Purg, Daniela Brasil, Alessandro Bordina, Miljana Babić, 2014, druge monografije in druga zaključena dela Opis: The report consist of individual test-run reports by participating teachers and consortium-level observers that gathered qualitative and quantitative data through short interviews, surveys and QA questionnaires mostly with students, but also among themselves. A joint evaluation is delivered and a “lessons learned” compendium published, offered digitally through the project’s dissemination system (mostly newsletter and website-promotion), and spread locally through the teaching communities – also partly entering the professional article as “experience report” (see next deliverable). These reports and the “lessons learned” were discussed and confirmed in the below structure at the September 2013 meeting, organised by P4. Notably, a total of three sceintific or porfessional articles were (to be) published (as separate deliverables) refereing to the lessons learned in this project, refering to the summative experience of the project.
Ključne besede: Curriculum, module, course, study programme, degree, international, comparison, study, national, studio, MA
Objavljeno v RUNG: 05.07.2016; Ogledov: 4913; Prenosov: 215
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46. Sexual hormone fluctuation in chinchillasTanja Peric, Simone Celiberti, Alessia Gloria, Alberto Contri, Augusto Carluccio, Alessandro Melillo, Domenico Robbe, 2013, izvirni znanstveni članek Ključne besede: činčile, hormoni, foziologija razmnoževanja, spolni ciklus
Objavljeno v RUNG: 16.06.2016; Ogledov: 4030; Prenosov: 24
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47. Cortisol hair and nails concentrations in newborn puppies and kittens : preliminary resultsTanja Peric, M. Montillo, A. Prandi, M. C. Veronesi, T. Meloni, Alessandro Rota, 2012, objavljeni znanstveni prispevek na konferenci Ključne besede: psi, mačke, mladički, dlaka, kortizol, kremplji
Objavljeno v RUNG: 10.07.2015; Ogledov: 5633; Prenosov: 31
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48. IGF-I, NEFA and cortisol concentrations in fetal fluids of dogs and cats : preliminary dataTanja Peric, A. Comin, M. C. Veronesi, T. Meloni, Alessandro Rota, MC Pisu, 2012, objavljeni znanstveni prispevek na konferenci Ključne besede: psi, mačke, fetalne tekočine, hormoni, presnovni dejavniki
Objavljeno v RUNG: 10.07.2015; Ogledov: 5620; Prenosov: 37
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