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            <title xml:lang="en">Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels</title>
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                <forename type="first">Simona</forename>
                <surname>Perotto</surname>
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            <author role="aut">
              <persName>
                <forename type="first">Gloria</forename>
                <surname>Bellini</surname>
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            <author role="aut">
              <persName>
                <forename type="first">Francesco</forename>
                <surname>Ballarin</surname>
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              <idno type="halauthorid">1470477-0</idno>
              <affiliation ref="#struct-497179"/>
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            <author role="aut">
              <persName>
                <forename type="first">Karol</forename>
                <surname>Calò</surname>
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                <forename type="first">Valentina</forename>
                <surname>Mazzi</surname>
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                <forename type="first">Umberto</forename>
                <surname>Morbiducci</surname>
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                <forename>Linh</forename>
                <surname>Nguyen</surname>
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              <date type="whenReleased">2022-12-06 14:00:34</date>
              <date type="whenProduced">2023-06-30</date>
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                  <forename>Linh</forename>
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            <idno type="halRefHtml">&lt;i&gt;Reduced Order Models for the Biomechanics of Living Organs - Series: Biomechanics of Living Organs&lt;/i&gt;, 2023</idno>
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            <note type="commentary">17 pages</note>
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                <title xml:lang="en">Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Simona</forename>
                    <surname>Perotto</surname>
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                  <idno type="halauthorid">388842-0</idno>
                  <affiliation ref="#struct-470087"/>
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                <author role="aut">
                  <persName>
                    <forename type="first">Gloria</forename>
                    <surname>Bellini</surname>
                  </persName>
                  <idno type="halauthorid">2667371-0</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Francesco</forename>
                    <surname>Ballarin</surname>
                  </persName>
                  <idno type="halauthorid">1470477-0</idno>
                  <affiliation ref="#struct-497179"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Karol</forename>
                    <surname>Calò</surname>
                  </persName>
                  <idno type="halauthorid">2149810-0</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Valentina</forename>
                    <surname>Mazzi</surname>
                  </persName>
                  <idno type="halauthorid">2149811-0</idno>
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                <author role="aut">
                  <persName>
                    <forename type="first">Umberto</forename>
                    <surname>Morbiducci</surname>
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                  <idno type="halauthorid">460618-0</idno>
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                <title level="m">Reduced Order Models for the Biomechanics of Living Organs - Series: Biomechanics of Living Organs</title>
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                  <date type="datePub">2023-06-30</date>
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              <idno type="arxiv">2205.08127</idno>
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              <p>Microfluidics proved to be a key technology in various applications, allowing to reproduce large-scale laboratory settings at a more sustainable small-scale. The current effort is focused on enhancing the mixing process of different passive species at the micro-scale, where a laminar flow regime damps turbulence effects. Chaotic advection is often used to improve mixing effects also at very low Reynolds numbers. In particular, we focus on passive micromixers, where chaotic advection is mainly achieved by properly selecting the geometry of microchannels. In such a context, reduced order modeling can play a role, especially in the design of new geometries. In this chapter, we verify the reliability and the computational benefits lead by a Hierarchical Model (HiMod) reduction when modeling the transport of a passive scalar in an S-shaped microchannel. Such a geometric configuration provides an ideal setting where to apply a HiMod approximation, which exploits the presence of a leading dynamics to commute the original three-dimensional model into a system of one-dimensional coupled problems. It can be proved that HiMod reduction guarantees a very good accuracy when compared with a high-fidelity model, despite a drastic reduction in terms of number of unknowns.</p>
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          <date type="start">2017-02-03</date>
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              <addrLine>Piazza Leonardo da Vinci, 32, 20133 Milano, Italia</addrLine>
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              <addrLine>Politecnico di Torino - Corso Duca degli Abruzzi, 24 10129 Torino</addrLine>
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          <desc>Accurate Roms for Industrial Applications</desc>
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