Concept

Object code optimizer

Publications associées (181)

Extending building integrated photovoltaics (BiPV) using distributed energy hubs. A case study in Cartigny, Switzerland

Jean-Louis Scartezzini, Silvia Coccolo, Amarasinghage Tharindu Dasun Perera, Nahid Mohajeri Pour Rayeni, Nour Mdeihli

The integration of renewable energy technologies in the existing energy infrastructure plays a key role in improving the sustainability of cities. Due to the stochastic nature of some renewable energy sources, primarily wind and solar energy, direct integr ...

Elsevier2017

Mechanisms of perfect absorption in nano-composite systems

Olivier Martin, Sebastian Mader

Near-perfect absorption across the entire VIS based on metallic nano-composite materials was realized experimentally by Hedayati et.al. in 2011 and optimized based on simulations by Etrich et.al. in 2014. However, both works did not reveal the mechanisms t ...

2017

Simulation of profile evolution from ramp-up to ramp-down and optimization of tokamak plasma termination with the RAPTOR code

Olivier Sauter, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Doohyun Kim, Anna Teplukhina, Donghyun Kim

The present work demonstrates the capabilities of the transport code RAPTOR as a fast and reliable simulator of plasma profiles for the entire plasma discharge, i.e. from ramp-up to ramp-down. This code focuses, at this stage, on the simulation of electron ...

2017

cemff: A force field database for cementitious materials including validations, applications and opportunities

Paul Bowen, Sandra Caroline Galmarini, Aslam Kunhi Mohamed, David Geissbühler

This paper reviews atomistic force field parameterizations for molecular simulations of cementitious minerals, such as tricalcium silicate (C3S), portlandite (CH), tobermorites (model C-S-H). Computational techniques applied to these materials include clas ...

Elsevier2017

Global Optimization on an Interval

Thomas Alois Weber

This paper provides expressions for solutions of a one-dimensional global optimization problem using an adjoint variable which represents the available one-sided improvements up to the interval "horizon." Interpreting the problem in terms of optimal stoppi ...

2017

Microfluidic-assisted chromogenic in situ hybridization (MA-CISH) for fast and accurate breast cancer diagnosis

Martinus Gijs, Raphaël Etienne Jean Trouillon, Huu Tuan Nguyen, Léa Suzanne Bernier

Chromogenic in situ hybridization (CISH) is a common technique that is used for human epidermal growth factor receptor 2 (HER2) assessment in breast cancer diagnosis. CISH is based on the enzymatic amplification of DNA markers, generating a colorimetric im ...

Elsevier2017

Design Optimization of Round Strands Made by Twisted Stacks of HTS Tapes

Pierluigi Bruzzone, Davide Uglietti, Rainer Wesche

Atwisted stack of high-temperature superconducting (HTS) tapes soldered into copper profiles was used as a strand in the fabrication of the 60-kA/ 12-T HTS cable prototype at the Center for Research in Plasma Physics (CRPP). Considering the strand in gener ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Development of a novel sequential pretreatment strategy for the production of bioethanol from sugarcane trash

Edgard Gnansounou, Binod Parameswaran

A novel sequential pretreatment strategy using biodiesel industry generated waste glycerol assisted transition metal and alkali pretreatment of sugarcane trash were developed for the production of bioethanol. Various process parameters affecting pretreatme ...

Elsevier2016

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Adrien Raphaël Depeursinge

Many medical image analysis tasks require complex learning strategies to reach a quality of image-based decision support that is sufficient in clinical practice. The analysis of medical texture in tomographic images, for example of lung tissue, is no excep ...

2016

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

Felix Schürmann, James Gonzalo King, Michael Lee Hines, Pramod Shivaji Kumbhar, Aleksandr Ovcharenko

The European Dynamical Exascale Entry Platform (DEEP) is an example of a new type of heterogeneous supercomputing architecture that include both a standard multicore-based "Cluster" used to run less scalable parts of an application, and an Intel MIC-based ...

Springer Int Publishing Ag2016

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