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Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics
Francesco Regazzoni, Luca Dede', Alfio Quarteroni
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Active force generation in cardiac muscle cells: mathematical modeling and numerical simulation of the actin-myosin interaction
Francesco Regazzoni, Luca Dede', Alfio Quarteroni
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Machine learning for fast and reliable solution of time-dependent differential equations
Francesco Regazzoni, Luca Dede', Alfio Quarteroni
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Topology optimization of multiple anisotropic materials, with application to self-assembling diblock copolymers
Francesco Regazzoni, Nicola Parolini, Marco Verani
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Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions
Francesco Regazzoni, Luca Dede', Alfio Quarteroni
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Topology optimization with a time-integral cost functional
Matteo Bruggi, Nicola Parolini, Francesco Regazzoni, Marco Verani
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