Search results for "SIMULATION"
showing 10 items of 5095 documents
Effects of quantum statistics of phonons on the thermal conductivity of silicon and germanium nanoribbons.
2012
: We present molecular dynamics simulation of phonon thermal conductivity of semiconductor nanoribbons with an account for phonon quantum statistics. In our semiquantum molecular dynamics simulation, dynamics of the system is described with the use of classical Newtonian equations of motion where the effect of phonon quantum statistics is introduced through random Langevin-like forces with a specific power spectral density (color noise). The color noise describes interaction of the molecular system with the thermostat. The thermal transport of silicon and germanium nanoribbons with atomically smooth (perfect) and rough (porous) edges are studied. We show that the existence of rough (porous)…
Low-cost high-haze films based on ZnO nanorods for light scattering in thin c-Si solar cells
2015
Light scattering from ZnO nanorods (NR) is investigated, modeled, and applied to a solar cell. ZnO NR (120-1300 nm long, 280-60 nm large), grown by low-cost chemical bath deposition at 90 degrees C, exhibit diffused-to-total transmitted light as high as 70% and 30% in the 400 and 1000 nm wavelength range, respectively. Data and scattering simulation show that ZnO NR length plays a crucial role in light diffusion effect. A transparent ZnO NR film grown on glass and placed on top of a 1 mu m thick c-Si solar cell is shown to enhance the light-current conversion efficiency for wavelengths longer than 600 nm. (C) 2015 AIP Publishing LLC.
Separation of Nanoparticles by Gel Electrophoresis According to Size and Shape
2007
We demonstrate the separation of gold and silver nanoparticles according to their size and shape by agarose gel electrophoresis after coating them with a charged polymer layer. The separation is monitored optically using the size- and shape-dependent plasmon resonance of noble metal particles and confirmed by transmission electron microscopy (TEM). Electrophoretic mobilities are quantitatively explained by a model based on the Henry formula, providing a theoretical framework for predicting gel mobilities of polymer coated nanoparticles.
Biological Nutrient Removal Model No. 2 (BNRM2): a general model for wastewater treatment plants
2013
This paper presents the plant-wide model Biological Nutrient Removal Model No. 2 (BNRM2). Since nitrite was not considered in the BNRM1, and this previous model also failed to accurately simulate the anaerobic digestion because precipitation processes were not considered, an extension of BNRM1 has been developed. This extension comprises all the components and processes required to simulate nitrogen removal via nitrite and the formation of the solids most likely to precipitate in anaerobic digesters. The solids considered in BNRM2 are: struvite, amorphous calcium phosphate, hidroxyapatite, newberite, vivianite, strengite, variscite, and calcium carbonate. With regard to nitrogen removal via…
Performance Prevision of a Turbocharged Natural Gas Fuelled S.I. Engine
2008
Natural gas represents today maybe the most valid alternative to conventional fuels for road vehicles propulsion. The main constituent of natural gas, methane, is characterized by a high autoignition temperature, which makes the fuel highly resistant to knocking: this allows a considerable downsizing of the engine by means of supercharging even under high compression ratio. Starting from these considerations, the authors realized a thermodynamic model of a 4-cilynder s.i. engine for the prevision of in-cylinder pressure, employing a two-zone approach for the combustion and adding sub-models to account for gas properties change and knocking occurrence. An extensive experimental campaign has …
Simulation-Based Learning, an Essential Tool for Control Process in Food Engineering Education
2019
Abstract Simulation-based learning has become an essential tool for food engineers in education and industry. The students from food engineering higher education usually have difficulties to understand abstract concepts of the process control, to make links among microbiology, biochemistry and automation of the technological process from food industry. The present paper describes a methodology for teaching the process control by developing a control level process using simulation-based learning. The used of this metode highlighted that the students developed competence toward “thinking like a scientist”, developed argumentation and critical decision-making skills and reinforced research-pla…
Use of simulation-based learning among perioperative nurses and students: A scoping review.
2018
Abstract Objectives Simulation-based learning has been extensively explored, especially in baccalaureate nursing programmes. Recently, simulation-based learning has been introduced in perioperative nursing. The aim of this scoping review is to investigate work published on the use of simulation-based learning in the field of perioperative nursing. Design and data sources A scoping review was conducted using the methodological framework of Arksey and O'Malley to identify a broad range of relevant literature, regardless of study design. A comprehensive and systematic search was performed using Medline, CINAHL, Eric, Svemed+, PsychINFO and Embase in May 2016 and then was updated in February 20…
Simulation of the effects of climate change on barley yields in rural Italy
2009
The Greenhouse effect is considered to be one of the most influential factors on climate change today, especially where temperature and rainfall levels/distribution are concerned, making it of considerable importance in the field of Agronomy. Crop growth and development simulation models are a valuable cognitive tool in understanding water and nutrient dynamics in soil/plant systems. This paper looks at the direct and indirect effects of climatic changes on average barley yields. The complex nature of the study rendered the use of mathematical simulation models essential, both for predicting future climate conditions and for the simulation of crop growth and development. Of the different si…
Marrakair: une simulation participative pour observer les émissions atmosphériques du trafic routier en milieu urbain
2017
National audience; D’après l’Organisation Mondiale de la Santé (OMS), la pollution de l’air est le principal risque environnemental pour la santé dans le monde 1 (OMS, 2013). Àl’échelle locale, la pollution atmosphérique agit sur quelques kilomètres et se manifeste à proximité des sources de pollution comme la proximité aux sites industriels. En milieu urbain, le premier contributeur aux émissions de NOx, CO, ou PM10 dans l’atmosphère est le trafic routier (CITEPA, 2014). La pollution atmosphérique automobile (PAA) se caractérise en effet par l’émission de composés toxiques et cancérigènes directement émis par les moteurs. L’intensité des émissions est à relier au nombre de véhicules présen…
Methods of spatial cluster detection in rare childhood cancers: Benchmarking data and results from a simulation study on nephroblastoma
2021
Abstract The potential existence of spatial clusters in childhood cancer incidence is a debated topic. Identification of rare disease clusters in general may help to better understand disease etiology and develop preventive strategies against such entities. The incidence of newly diagnosed childhood malignancies under 15 years of age is 140/1,000,000. In this context, the subgroup of nephroblastoma represents an extremely rare entity with an annual incidence of 7/1,000,000. We evaluated widely used statistical approaches for spatial cluster detection in childhood cancer (Ref. [22] Schundeln et al., 2021, Cancer Epidemiology). For the simulation study, random high risk clusters of 1 to 50 ad…