Design of a nanomechanical fluid control valve based on functionalized silicon cantilevers: coupling molecular mechanics with classical engineering design

Abstract Process engineering design relies on a host of mechanical devices that enable transport phenomena to take place under controlled conditions. These devices include pipes, valves, pumps, chemical reactors, heat exchangers, packed columns, etc. Mass, energy, and momentum transfer will also be essential phenomena in nanoprocess engineering, particularly at the interface between micro-and nanodevices. Control valves are one of the most fundamental components. In this paper we explore the design of a silicon cantilever valve for fluid transport control at the molecular level (34.5-70 nm in length). We utilize design elements that can be synthesized with existing or emerging chemical and solid state fabrication methods. Thus, the valve is constructed with functionalized silicon surfaces, single-wall carbon nanotubes, and organic monolayers. While molecular mechanics design limitations were overcome with help from classical engineering approximations, nonlinear effects, such as nanotube crimping (for an in-line valve design), are accounted for through full-physics atomistic simulations. Optimal design geometries and operating deflection ranges have been estimated for a device containing over 75 000 atoms

Archivo online de datos macrosísmicos de la península Ibérica

An application has been adopted to visualize macroseismic data of the Iberian Peninsula. Three institutions, Institut Geològic de Catalunya (IGC), Instituto Geográfico Nacional (IGN), from Spain and Instituto de Meteorologia from Portugal have already implemented in their web sites with information on the most important earthquakes. A computer programe (MIDOP, Macroseismic Intensity Data Online Publisher) was created by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) in order to easily allow theobtention of Earthquake listing and geographical distribution of intensity data points through a web page

Wind Turbine Offloadng Optimization Strategy

Presented on May 2, 2012 from 5:45 PM – 8:00 PM in the Klaus Advanced Computing Building, room 1443 on the Georgia Tech campus.The team who worked on the project sponsored by GE Energy, received the coveted first place award in the competition.Best of Senior Design Spring 2012 Finalist Presentations.Runtime: 20:54 minutesGE Energy is a leader in the alternative energy field, installing over 16,000 wind turbines since 2002. The team created tools to forecast the times of arrival of components to wind sites and optimize the allocation of offloading cranes. GE Energy can expect savings of 1.9 million from implementation of these tools.Llewellyn, Donna C

First Results from Supernova Diversity and Rate Evolution (SUDARE) Survey at VST

Despite the key role played by Supernovae (SNe) in discovering the accelerating expansion of the Universe, there are still fundamental questions to answer about their progenitor systems and explosion mechanisms. Furthermore the discovery of a significant number of both exceptionally bright and extremely faint SNe, as well as peculiar events, suggests the existence of an unexpected diversity. Important clues on the SN progenitors can be derived by examining the rate of type Ia and core collapse SNe. With this goal in mind we started the SUpernova Diversity And Rate Evolution (SUDARE) programme currently running at the VLT Survey Telescope (VST). We present a measurement of the volumetric SN rates as a function of redshift for the first 2 years of data from SUDARE

KiDS+VIKING-450: A new combined optical and near-infrared dataset for cosmology and astrophysics

We present the curation and verification of a new combined optical and near infrared dataset for cosmology and astrophysics, derived by combining ugri-band imaging from the Kilo-Degree Survey (KiDS) and ZYJHKs-band imaging from the VISTA Kilo degree Infrared Galaxy (VIKING) survey. This dataset is unrivaled in cosmological imaging surveys due to the combination of its area (458 deg2 before masking), depth (r ≤ 25), and wavelength coverage (ugriZYJHKs). This combination of survey depth, area, and (most importantly) wavelength coverage allows significant reductions in systematic uncertainties (i.e. reductions of between 10% and 60% in bias, outlier rate, and scatter) in photometric-to-spectroscopic redshift comparisons, compared to the optical-only case at photo-z above 0.7. The complementarity between our optical and near infrared surveys means that over 80% of our sources, across all photo-z, have significant detections (i.e. not upper limits) in our eight reddest bands. We have derived photometry, photo-z, and stellar masses for all sources in the survey, and verified these data products against existing spectroscopic galaxy samples. We demonstrate the fidelity of our higher-level data products by constructing the survey stellar mass functions in eight volume-complete redshift bins. We find that these photometrically derived mass functions provide excellent agreement with previous mass evolution studies derived using spectroscopic surveys. The primary data products presented in this paper are made publicly available through the KiDS survey website

KiDS+VIKING-450 opt+NIR dataset

VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'KiDS+VIKING-450: A new combined optical and near-IR dataset for cosmology and astrophysics.' (bibcode: 2019A&A...632A..34W