@article {2020,
	title = {Reduced order isogeometric analysis approach for pdes in parametrized domains},
	journal = {Lecture Notes in Computational Science and Engineering},
	volume = {137},
	year = {2020},
	pages = {153-170},
	abstract = {<p>In this contribution, we coupled the isogeometric analysis to a reduced order modelling technique in order to provide a computationally efficient solution in parametric domains. In details, we adopt the free-form deformation method to obtain the parametric formulation of the domain and proper orthogonal decomposition with interpolation for the computational reduction of the model. This technique provides a real-time solution for any parameter by combining several solutions, in this case computed using isogeometric analysis on different geometrical configurations of the domain, properly mapped into a reference configuration. We underline that this reduced order model requires only the full-order solutions, making this approach non-intrusive. We present in this work the results of the application of this methodology to a heat conduction problem inside a deformable collector pipe.</p>},
	doi = {10.1007/978-3-030-48721-8_7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089615035\&doi=10.1007\%2f978-3-030-48721-8_7\&partnerID=40\&md5=7b15836ae65fa28dcfe8733788d7730c},
	author = {Fabrizio Garotta and Nicola Demo and Marco Tezzele and Massimo Carraturo and Alessandro Reali and Gianluigi Rozza}
}
@inbook {AuricchioContiLefieuxMorgantiRealiRozzaVeneziani2018,
	title = {Computational methods in cardiovascular mechanics},
	booktitle = {Cardiovascular Mechanics},
	year = {2018},
	pages = {54},
	publisher = {CRC Press},
	organization = {CRC Press},
	chapter = {Computational methods in cardiovascular mechanics},
	abstract = {<p>The introduction of computational models in cardiovascular sciences has been progressively bringing new and unique tools for the investigation of the physiopathology. Together with the dramatic improvement of imaging and measuring devices on one side, and of computational architectures on the other one, mathematical and numerical models have provided a new, clearly noninvasive, approach for understanding not only basic mechanisms but also patient-specific conditions, and for supporting the design and the development of new therapeutic options. The terminology in silico is, nowadays, commonly accepted for indicating this new source of knowledge added to traditional in vitro and in vivo investigations. The advantages of in silico methodologies are basically the low cost in terms of infrastructures and facilities, the reduced invasiveness and, in general, the intrinsic predictive capabilities based on the use of mathematical models. The disadvantages are generally identified in the distance between the real cases and their virtual counterpart required by the conceptual modeling that can be detrimental for the reliability of numerical simulations.</p>},
	url = {https://www.taylorfrancis.com/books/e/9781315280288/chapters/10.1201\%2Fb21917-5},
	author = {Auricchio, Ferdinando and Conti, Michele and Lefieux, Adrian and Morganti, Simone and Alessandro Reali and Gianluigi Rozza and Veneziani, Alessandro},
	editor = {Michel F. Labrosse}
}
@article {20.500.11767_11953,
	title = {A natural framework for isogeometric fluid-structure interaction based on BEM-shell coupling},
	journal = {COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING},
	volume = {316},
	year = {2017},
	pages = {522{\textendash}546},
	doi = {10.1016/j.cma.2016.08.008},
	url = {http://cdsads.u-strasbg.fr/abs/2017CMAME.316..522H},
	author = {Luca Heltai and Kiendl, J. and Antonio DeSimone and Alessandro Reali}
}
