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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Alotto, Piergiorgio</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Jaindl, Michael</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Kutschera, Ralph</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Magele, Christian</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Köstinger, Alice</mods:namePart>
               </mods:name>
               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2011</mods:dateIssued>
               </mods:originInfo>
               <mods:identifier type="none"/>
               <mods:abstract>Every engineering discipline faces the fact of ever-shortening time-to-market&#xd;
windows and development cycles. In order to counteract these, virtual prototyping, simulation&#xd;
and problem optimization are employed in a rapidly increasing number of cases.&#xd;
Yet, the key to efficient problem formulation by professionals still lies in the use of sophisticated&#xd;
simulation software capable of processing numerous diverse design and optimization&#xd;
tasks in a versatile way.&#xd;
More often than not, different tools for different workflows need to be coordinated and&#xd;
interdepend on each others data in the design process chain. When toolchains need to&#xd;
be run multiple times, as it is typically the case in numerical optimization, the lineup&#xd;
overhead tends to be tedious to both man and machine.&#xd;
This paper describes different aspects concerning the design of a software and data framework&#xd;
which tackles the problem of lining up software tools that may be incoherent in terms&#xd;
of data exchange and control mode. The resulting system covers all parts of multiphysical&#xd;
simulation problems that may arise in electrical engineering and its adjoining disciplines&#xd;
as an application of the finite element method.</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">Open Access</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Finite element method</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Coupled problems (Complex systems) -- Numerical solutions</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Numerical Optimization, Simulation, Multiphysics, Weak Coupling</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Elements finits, Mètode dels</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Numerical simulation framework for weakly coupled multiphysical problems in electrical engineering</mods:title>
               </mods:titleInfo>
               <mods:genre>Conference report</mods:genre>
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