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STIMULATE SIGNED

Simulation in multiscale physical and biological systems

Total Cost €

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EC-Contrib. €

0

Partnership

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 STIMULATE project word cloud

Explore the words cloud of the STIMULATE project. It provides you a very rough idea of what is the project "STIMULATE" about.

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Project "STIMULATE" data sheet

The following table provides information about the project.

Coordinator
THE CYPRUS INSTITUTE 

Organization address
address: CONSTANTINOU KAVAFI 20
city: NICOSIA
postcode: 2121
website: www.cyi.ac.cy

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Cyprus [CY]
 Total cost 3˙755˙601 €
 EC max contribution 3˙755˙601 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-EJD
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2022-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CYPRUS INSTITUTE CY (NICOSIA) coordinator 482˙758.00
2    THE HEBREW UNIVERSITY OF JERUSALEM IL (JERUSALEM) participant 520˙601.00
3    UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA IT (ROMA) participant 516˙122.00
4    BERGISCHE UNIVERSITAET WUPPERTAL DE (WUPPERTAL) participant 498˙432.00
5    HUMBOLDT-UNIVERSITAET ZU BERLIN DE (BERLIN) participant 498˙432.00
6    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 498˙432.00
7    UNIVERSITY OF CYPRUS CY (NICOSIA) participant 482˙758.00
8    UNIVERSITA DEGLI STUDI DI FERRARA IT (FERRARA) participant 258˙061.00
9    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) partner 0.00
10    IBM RESEARCH GMBH CH (RUESCHLIKON) partner 0.00
11    MAGWEL BE (LEUVEN) partner 0.00
12    NVIDIA GmbH DE (Wuerselen) partner 0.00
13    STIFTUNG DEUTSCHES ELEKTRONEN-SYNCHROTRON DESY DE (HAMBURG) partner 0.00
14    THE CYPRUS FOUNDATION FOR MUSCULAR DYSTROPHY RESEARCH CY (AYIOS DOMETIOS) partner 0.00

Map

 Project objective

Simulation alongside theory and experiment is nowadays considered an integral part of scientific discovery. As computation speeds up and new technologies and instruments improve, data generation in all fields of science is rapidly increasing. As a consequence, researchers face new challenges: Data collection exceeds by far the capacity to validate, analyze, visualize, store, and curate the information contained. Additionally, traditional, single-scale, macroscopic physical models are becoming inadequate for the accuracy requirements of modern physical, biological and engineering applications that involve multiscale phenomena occurring over vastly different scales. Tackling these challenges will transform our approach to research potentially leading to unprecedented data-driven scientific discoveries. The overall goal of STIMULATE is to deliver an innovative interdisciplinary educational and research program in simulation and data science, which educates students to best address the challenges posed by exascale computing and intensive data applications, producing computational science professionals tactically positioned to become leaders in both academia and industry. The project proposes a rigorous network-wide training program and research projects that combine mathematical modeling and algorithms for exascale simulations and data-intensive science with applications in the fields of Computational Fluid Dynamics, Computational Biology and Particle and Nuclear Physics with focus in lattice Quantum Chromodynamics. Students will be seconded to industrial partners that will complement expertise in computer technologies, mathematical modeling and data analytics with hands-on training. Experts from eight degree-awarding institutions, three research centers and three companies are engaged in the project. Each of the fifteen fellows of the program will obtain a single joint Ph.D. degree from three academic institutions.

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The information about "STIMULATE" are provided by the European Opendata Portal: CORDIS opendata.

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