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DRIVEN SIGNED

Increasing the scientific excellence and innovation capacity in Data-Driven Simulation of the University of Luxembourg

Total Cost €

EC-Contrib. €

Partnership

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DRIVEN project word cloud

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

innovation scientific base texas simulations transfer boost wp2 computer materials luxembourg excellence outreach wp3 sub schools training network ut swot workshops strategy smart packages capacity summer university specialisation conferences ul automatique strengthen recherche informatique inria ulim en takes limerick staff simulation de therapy wp1 mathematical foundations functional twinning institut assisted profile austin composite quality national data et

Project "DRIVEN" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITE DU LUXEMBOURG Organization address address: 2 AVENUE DE L'UNIVERSITE city: ESCH-SUR-ALZETTE postcode: 4365 website: http://wwwen.uni.lu 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	Luxembourg [LU]
Total cost	1˙157˙475 €
EC max contribution	1˙000˙000 € (86%)
Programme	1. H2020-EU.4.b. (Twinning of research institutions)
Code Call	H2020-WIDESPREAD-05-2017-Twinning
Funding Scheme	CSA
Starting year	2018
Duration (year-month-day)	from 2018-10-01 to 2021-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITE DU LUXEMBOURG UNIVERSITE DU LUXEMBOURG Organization address address: 2 AVENUE DE L'UNIVERSITE city: ESCH-SUR-ALZETTE postcode: 4365 website: http://wwwen.uni.lu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	LU (ESCH-SUR-ALZETTE)	coordinator	512˙550.00
2	UNIVERSITY OF LIMERICK UNIVERSITY OF LIMERICK Organization address address: NATIONAL TECHNOLOGICAL PARK, PLASSEY city: LIMERICK postcode: - website: www.ul.ie contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IE (LIMERICK)	participant	245˙000.00
3	INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE Organization address address: DOMAINE DE VOLUCEAU ROCQUENCOURT city: LE CHESNAY CEDEX postcode: 78153 website: www.inria.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (LE CHESNAY CEDEX)	participant	242˙450.00
4	THE UNIVERSITY OF TEXAS SYSTEM THE UNIVERSITY OF TEXAS SYSTEM Organization address address: COLORADO STREET 601 city: AUSTIN postcode: 78701 2982 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	US (AUSTIN)	participant	0.00

Map

Project objective

The overall aim of the DRIVEN project is to boost the scientific excellence and technology-transfer capacity in data-driven simulation of the University of Luxembourg (UL) by creating a network with the high-quality Twinning partners: Institut National de Recherche en Informatique et en Automatique (Inria), University of Limerick (ULIM) and University of Texas at Austin (UT Austin). To achieve this aim, the 3 year project will build upon the existing strong research and innovation base of UL and its Twinning partners.

To boost their scientific excellence and technology transfer capacity in data-driven simulation, the partners will implement a research and innovation strategy focused on three sub-topics:

1. Mathematical foundations for data-driven simulations – UL with UT Austin, 2. Data-driven simulations for computer-assisted therapy – UL with Inria, and 3. Data-driven simulations for functional composite materials – UL with ULIM.

The research and innovation strategy takes into account the recent SWOT analysis of UL and has the following objectives:

• Objective 1: Strengthen UL’s research excellence in data-driven simulation • Objective 2: Enhance the research and innovation capacity of UL and the Twinning partners • Objective 3: Raise the research profile of UL and the Twinning Partners • Objective 4: Contribute to the SMART Specialisation Strategy of Luxembourg • Objective 5: Support research and innovation on a European level In order to achieve these objectives, the consortium partners will implement a comprehensive set of measures via the project’s work packages:

• Short term staff exchanges (WP1); • Training workshops, conferences and summer schools (WP2); • Dissemination and outreach (WP3).

Deliverables

List of deliverables.
Project leaflet and poster	Websites, patent fillings, videos etc.	2019-09-20 14:27:40

Take a look to the deliverables list in detail: detailed list of DRIVEN deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2018	H. Rappel, L.A.A. Beex, L. Noels, S.P.A. Bordas Identifying elastoplastic parameters with Bayesâ€™ theorem considering output error, input error and model uncertainty published pages: , ISSN: 0266-8920, DOI: 10.1016/j.probengmech.2018.08.004	Probabilistic Engineering Mechanics	2019-05-19
2018	Paul Hauseux, Jack S. Hale, StÃ©phane Cotin, StÃ©phane P.A. Bordas Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters published pages: 86-102, ISSN: 0307-904X, DOI: 10.1016/j.apm.2018.04.021	Applied Mathematical Modelling 62	2019-05-19
2017	Paul Hauseux, Jack S. Hale, StÃ©phane P. A. Bordas Calculating the Malliavin derivative of some stochastic mechanics problems published pages: e0189994, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0189994	PLOS ONE 12/12	2019-05-19
2016	K.C. Hoang, P. Kerfriden, S.P.A. Bordas A fast, certified and â€œtuning freeâ€ two-field reduced basis method for the metamodelling of affinely-parametrised elasticity problems published pages: 121-158, ISSN: 0045-7825, DOI: 10.1016/j.cma.2015.08.016	Computer Methods in Applied Mechanics and Engineering 298	2019-05-19
2018	Hussein Rappel, Lars A. A. Beex, StÃ©phane P. A. Bordas Bayesian inference to identify parameters in viscoelasticity published pages: 221-258, ISSN: 1385-2000, DOI: 10.1007/s11043-017-9361-0	Mechanics of Time-Dependent Materials 22/2	2019-05-19
2017	Paul Hauseux, Jack S. Hale, StÃ©phane P.A. Bordas Accelerating Monte Carlo estimation with derivatives of high-level finite element models published pages: 917-936, ISSN: 0045-7825, DOI: 10.1016/j.cma.2017.01.041	Computer Methods in Applied Mechanics and Engineering 318	2019-05-19
2018	Huu Phuoc Bui, Satyendra Tomar, Hadrien Courtecuisse, Stephane Cotin, Stephane P. A. Bordas Real-Time Error Control for Surgical Simulation published pages: 596-607, ISSN: 0018-9294, DOI: 10.1109/tbme.2017.2695587	IEEE Transactions on Biomedical Engineering 65/3	2019-05-19
2016	Olivier Goury, David Amsallem, StÃ©phane Pierre Alain Bordas, Wing Kam Liu, Pierre Kerfriden Automatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization published pages: 213-234, ISSN: 0178-7675, DOI: 10.1007/s00466-016-1290-2	Computational Mechanics 58/2	2019-05-19
2018	Tuan Nguyen, Alireza Kashani, Tuan Ngo, StÃ©phane Bordas Deep neural network with high-order neuron for the prediction of foamed concrete strength published pages: , ISSN: 1093-9687, DOI: 10.1111/mice.12422	Computer-Aided Civil and Infrastructure Engineering	2019-05-19

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