scholarly journals D1.4 Final public Release of the solver

2021 ◽  
Author(s):  
Q. Ayoul-Guilmard ◽  
S. Ganesh ◽  
F. Nobile ◽  
R. Badia ◽  
J. Ejarque ◽  
...  
Keyword(s):  
Open Source Software ◽  
High Performance ◽  
Three Dimensional ◽  
Distributed Computation ◽  
Simulation Software ◽  
Mesh Adaptation ◽  
The Public ◽  
Monte Carlo Algorithms ◽  
Software Release ◽  
Parallel Mesh Adaptation

This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel remeshing in ParMmg. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is “a Python library for parallel, adaptive, hierarchical Monte Carlo algorithms, aiming at reliability, modularity, extensibility and high performance“. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation. ParMmg is an open source software which offers the parallel mesh adaptation of three dimensional volume meshes.

scholarly journals D1.3 First public Release of the solver

2021 ◽  
Author(s):  
Q. Ayoul-Guilmard ◽  
R. Badia ◽  
J. Ejarque ◽  
S. Ganesh ◽  
F. Nobile ◽  
...  
Keyword(s):  
Monte Carlo ◽  
High Performance ◽  
Distributed Computation ◽  
Simulation Software ◽  
The Public ◽  
Monte Carlo Algorithms ◽  
Software Release

This deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is a python library for hierarchical Monte Carlo algorithms. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation.

scholarly journals What do we need to trust in models?

2021 ◽  
Vol 1 ◽  
pp. 303-303
Author(s):  
Ingo Kock ◽  
Martin Navarro ◽  
Jens Eckel ◽  
Carsten Rücker ◽  
Stephan Hotzel
Keyword(s):  
High Performance ◽  
Numerical Models ◽  
Three Dimensional ◽  
Dimensional Representation ◽  
Model Calculations ◽  
The Public ◽  
Three Dimensional Representation ◽  
Persuasive Power ◽  
Weak Points ◽  
High Performance Computer

Abstract. Scientists working with numerical models may notice that their presentations of numerical results to non-specialists sometimes unfold substantial persuasive power. It seems obvious that someone has worked intensively on a topic, bundled information and solved complicated equations on a high-performance computer. The final result is a number, a curve or a three-dimensional representation. The computer has made no mistake, so the result can certainly be trusted. But can it? Those who do the modelling often know the weak points of their models and invest time in increasing the reliability of the model calculation. Trust in model calculations is usually based on rigorous quality assurance of data, programs, simulation calculations and result analyses. It requires appropriate handling of uncertainties. In view of the simplifications and idealizations of models it is also necessary to assess which model results are actually meaningful. Additionally, in most cases simplified or idealised models have been used and it is necessary to assess which model results are actually meaningful. We want to discuss what it takes to generate simulation results that can be considered reliable and how scientists can appropriately convey their confidence in their own models in discussions with the public. The framework of the discussion is provided by an introduction from Martin Navarro und Ingo Kock (BASE) and we are happy to have brief input from Thomas Nagel (TUBAF), Klaus-Jürgen Röhlig (TUC) and Wolfram Rühaak (BGE).

scholarly journals D1.2 First realease of the softwares

2021 ◽  
Author(s):  
R. Tosi ◽  
R. Amela ◽  
M. Nuñez ◽  
R. Badia ◽  
C. Roig ◽  
...  
Keyword(s):  
Uncertainty Quantification ◽  
High Performance ◽  
Simulation Software ◽  
Software Release

This deliverable presents the software release of the Kratos Multiphysics software [3], ”a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. In this deliverable we focus on the development of Uncertainty Quantification inside Kratos. This takes place in the MultilevelMonteCarloApplication, a recent development inside the software that allows to deal with uncertainty quantification.

scholarly journals GIANI: open-source software for automated analysis of 3D microscopy images

2020 ◽  
Author(s):  
David J. Barry ◽  
Claudia Gerri ◽  
Donald M. Bell ◽  
Rocco D’Antuono ◽  
Kathy K. Niakan
Keyword(s):  
Protein Expression ◽  
Open Source ◽  
Cell Fate ◽  
Open Source Software ◽  
High Performance ◽  
Three Dimensional ◽  
Automated Analysis ◽  
Large Numbers ◽  
User Friendly ◽  
High Performance Computing Cluster

AbstractThe study of cellular and developmental processes in physiologically relevant three-dimensional (3D) systems facilitates an understanding of mechanisms underlying cell fate, disease and injury. While cutting-edge microscopy technologies permit the routine acquisition of 3D datasets, there is currently a lack of user-friendly, open-source software to analyse such images. Here we describe GIANI (djpbarry.github.io/Giani), new software for the analysis of 3D images, implemented as a plugin for the popular FIJI platform. The design primarily facilitates segmentation of nuclei and cells, followed by quantification of morphology and protein expression. GIANI enables routine and reproducible batch-processing of large numbers of images and also comes with scripting and command line tools, such that users can incorporate its functionality into their own scripts and easily run GIANI on a high-performance computing cluster. We demonstrate the utility of GIANI by quantifying cell morphology and protein expression in mouse early embryos. More generally, we anticipate that GIANI will be a useful tool for researchers in a variety of biomedical fields.

Improved 3-D reconstruction using stereo computer graphics and multiple tilt EM images

1995 ◽  
Vol 53 ◽  
pp. 630-631
Author(s):  
Lee D. Peachey ◽  
Lou Fodor ◽  
John C. Haselgrove ◽  
Stanley M. Dunn ◽  
Junqing Huang
Keyword(s):  
Computer Graphics ◽  
High Performance ◽  
Transverse Section ◽  
Three Dimensional ◽  
Stereo Pair ◽  
3D Reconstructions ◽  
Video Cameras ◽  
Biological Objects ◽  
Microscope Images ◽  
High Performance Computer

Stereo pairs of electron microscope images provide valuable visual impressions of the three-dimensional nature of specimens, including biological objects. Beyond this one seeks quantitatively accurate models and measurements of the three dimensional positions and sizes of structures in the specimen. In our laboratory, we have sought to combine high resolution video cameras with high performance computer graphics systems to improve both the ease of building 3D reconstructions and the accuracy of 3D measurements, by using multiple tilt images of the same specimen tilted over a wider range of angles than can be viewed stereoscopically. Ultimately we also wish to automate the reconstruction and measurement process, and have initiated work in that direction.Figure 1 is a stereo pair of 400 kV images from a 1 micrometer thick transverse section of frog skeletal muscle stained with the Golgi stain. This stain selectively increases the density of the transverse tubular network in these muscle cells, and it is this network that we reconstruct in this example.

Rationally Designed Three-Dimensional Porous Nico 2n@C Reticular Structure for High-Performance Li-Ion Batteries

2020 ◽  
Author(s):  
Peiyao Wang ◽  
Bangchuan Zhao ◽  
Jin Bai ◽  
Kunzhen Li ◽  
Hongyang Ma ◽  
...  
Keyword(s):  
High Performance ◽  
Three Dimensional ◽  
Li Ion Batteries ◽  
Reticular Structure ◽  
Li Ion

scholarly journals Polarization-sensitive photodetectors based on three-dimensional molybdenum disulfide (MoS2) field-effect transistors

Nanophotonics ◽  
2020 ◽  
Vol 9 (16) ◽  
pp. 4719-4728
Author(s):  
Tao Deng ◽  
Shasha Li ◽  
Yuning Li ◽  
Yang Zhang ◽  
Jingye Sun ◽  
...  
Keyword(s):  
Molybdenum Disulfide ◽  
Field Effect ◽  
High Performance ◽  
Field Effect Transistors ◽  
Three Dimensional ◽  
Polarized Light ◽  
Optical Field ◽  
Two Dimensional ◽  
Polarization Ratio ◽  
Two Dimensional Materials

AbstractThe molybdenum disulfide (MoS2)-based photodetectors are facing two challenges: the insensitivity to polarized light and the low photoresponsivity. Herein, three-dimensional (3D) field-effect transistors (FETs) based on monolayer MoS2 were fabricated by applying a self–rolled-up technique. The unique microtubular structure makes 3D MoS2 FETs become polarization sensitive. Moreover, the microtubular structure not only offers a natural resonant microcavity to enhance the optical field inside but also increases the light-MoS2 interaction area, resulting in a higher photoresponsivity. Photoresponsivities as high as 23.8 and 2.9 A/W at 395 and 660 nm, respectively, and a comparable polarization ratio of 1.64 were obtained. The fabrication technique of the 3D MoS2 FET could be transferred to other two-dimensional materials, which is very promising for high-performance polarization-sensitive optical and optoelectronic applications.

scholarly journals Numerical Evaluation of a HVAC System Based on a High-Performance Heat Transfer Fluid

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3298
Author(s):  
Gianpiero Colangelo ◽  
Brenda Raho ◽  
Marco Milanese ◽  
Arturo de Risi
Keyword(s):  
Heat Transfer ◽  
High Performance ◽  
Cooling System ◽  
Electrical Energy ◽  
Simulation Software ◽  
Heat Transfer Fluid ◽  
Hvac System ◽  
Dynamic Simulations ◽  
Heating And Cooling ◽  
The University

Nanofluids have great potential to improve the heat transfer properties of liquids, as demonstrated by recent studies. This paper presents a novel idea of utilizing nanofluid. It analyzes the performance of a HVAC (Heating Ventilation Air Conditioning) system using a high-performance heat transfer fluid (water-glycol nanofluid with nanoparticles of Al2O3), in the university campus of Lecce, Italy. The work describes the dynamic model of the building and its heating and cooling system, realized through the simulation software TRNSYS 17. The use of heat transfer fluid inseminated by nanoparticles in a real HVAC system is an innovative application that is difficult to find in the scientific literature so far. This work focuses on comparing the efficiency of the system working with a traditional water-glycol mixture with the same system that uses Al2O3-nanofluid. The results obtained by means of the dynamic simulations have confirmed what theoretically assumed, indicating the working conditions of the HVAC system that lead to lower operating costs and higher COP and EER, guaranteeing the optimal conditions of thermo-hygrometric comfort inside the building. Finally, the results showed that the use of a nanofluid based on water-glycol mixture and alumina increases the efficiency about 10% and at the same time reduces the electrical energy consumption of the HVAC system.

Interpenetrating Gels as Conducting/Adhering Matrices Enabling High-Performance Silicon Anodes

2021 ◽  
Author(s):  
Tingting Xia ◽  
Chengfei Xu ◽  
Pengfei Dai ◽  
Xiaoyun Li ◽  
Riming Lin ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Electrode Materials ◽  
Three Dimensional ◽  
Electrochemical Energy Storage ◽  
Active Materials ◽  
Silicon Anodes ◽  
Weak Binding ◽  
Binding Forces

Three-dimensional (3D) conductive polymers are promising conductive matrices for electrode materials toward electrochemical energy storage. However, their fragile nature and weak binding forces with active materials could not guarantee long-term...

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