Introduction:This project aims at the design and the analysis of innovative methods for reducing the computational complexity of mathematical models relevant for medical applications, by appropriate surrogating techniques. Although it is now evident the potential role of mathematical modeling in medical applications for many proofs of concept, the real penetration of clinical practice is prevented by many factors.
Introduction: The objective of this project is to design and analyse innovative numerical methods for the approximation of partial differential equations (PDEs) in computational science and engineering. The increasing complexity of realistic models and the evolution of computational platforms and architectures are challenging the numerical analysis community to develop more efficient, effective, and innovative methods.
FARE-X-AROMA-CFD project deals with advanced numerical analysis for parametric partial differential equations (PDEs) to improve scientific computing performances in more and more complex computational mechanics problems.The aim of the FARE-X-AROMA-CFD project is to guarantee two further goals for ERC funded AROMA CFD project and to consolidate a strong critical mass in the development of numerical methods for computational reduction in fluid-dynamics and applications.
Through the HEaD project, supported by the Friuli Venezia Giulia Region with the co-financing of the European Social Fund, the International Advanced School of Advanced Studies promotes between others the Operation 1: Funding of research grants for research activities on subjects consistent with the areas of the Intelligent Specialization Strategy of the Friuli Venezia Giulia Region (S3) and related development trajectories. The research activity is realized at SISSA, in colloborations with other research organizations and institutions, both public and private.
ROMSOC is a European Industrial Doctorate (EID) project in the programme Innovative Training Networks (ITN) and part of Marie Sklodowska Curie Actions within the Horizon 2020 programme. The ROMSOC EID Network brings together 15 international academic institutions and 11 industry partners and supports the recruitment of eleven Early Stage Researchers (ESRs). Each ESR will be working on an individual research project in the host institution with secondments related to their research in other academic and industrial partners of the network.
L’obiettivo del progetto è l’ottimizzazione delle forme di una carena mediante sistemi di parametrizzazione delle forme geometriche delle prua e delle poppa sia in condizioni di mare calmo di sia di mare mosso. La prima fase del progetto prevede la scelta di un sistema open source di parametrizzazione della carena con particolare attenzione alla definizione delle parti estreme prodiere e poppiere. Il parametrizzatore scelto dovrà essere abbinato ad un solver e ad un sistema di ottimizzazione pure essi di tipo open source.
