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@ARTICLE{Shi:997123,
author = {Shi, Jianye and Manjunatha, Kiran and Reese, Stefanie},
title = {{F}ast simulation of coronary in‐stent restenosis: {A}
non‐intrusive data‐driven reduced order surrogate model},
journal = {Proceedings in applied mathematics and mechanics : PAMM},
volume = {24},
number = {4},
issn = {1617-7061},
address = {Weinheim},
publisher = {Wiley-VCH},
reportid = {RWTH-2024-11081},
pages = {e202400067},
year = {2024},
month = {Mar},
date = {2024-03-18},
organization = {94. Annual Meeting of the
International Association of Applied
Mathematics and Mechanics (GAMM),
Magdeburg (Germany), 18 Mar 2024 - 22
Mar 2024},
cin = {311510},
ddc = {510},
cid = {$I:(DE-82)311510_20140620$},
pnm = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
Aachen University (021000-OAPKF) / DFG project
G:(GEPRIS)465213526 - In-Stent-Restenose in koronaren
Arterien - In silico-Untersuchungen basierend auf
patientenspezifischen Daten und Metamodellierung (465213526)
/ DFG project G:(GEPRIS)441884911 - SPP 2311: Robuste
Kopplung kontinuumsbiomechanischer in silico Modelle für
aktive biologische Systeme als Vorstufe klinischer
Applikationen - Co-Design von Modellierung, Numerik und
Nutzbarkeit (441884911)},
pid = {G:(DE-82)021000-OAPKF / G:(GEPRIS)465213526 /
G:(GEPRIS)441884911},
typ = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
doi = {10.1002/pamm.202400067},
url = {https://publications.rwth-aachen.de/record/997123},
}