Publications associées à Isogeometric Analysis of Electrophysiological Models on Surfaces

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On the stability of blowup solutions for the critical corotational wave-map problem

Joachim Krieger, Shuang Miao

We show that the finite time blow up solutions for the co-rotational Wave Maps problem constructed in [7,15] are stable under suitably small perturbations within the co-rotational class, provided the scaling parameter

λ(t)=t−1−ν

is sufficiently close to ...

2020

Isogeometric Analysis of Electrophysiological Models on Surfaces

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MATHICSE technical Report : Stabilized explicit multirate methods for stiff differential equations

Biophysically detailed mathematical models of multiscale cardiac active mechanics

Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction

Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches

A mathematical model of the human heart

On the stability of blowup solutions for the critical corotational wave-map problem

MATHICSE Technical Report : Analytical and numerical study of a modified cell problem for the numerical homogenization of multiscale random fields

Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics

Hybrid high-resolution RBF-ENO method

Seamless integration of design and Kirchhoff-Love shell analysis using analysis-suitable unstructured T-splines

Biophysically detailed mathematical models of multiscale cardiac active mechanics

MATHICSE technical Report : Stabilized explicit multirate methods for stiff differential equations

Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches

A mathematical model of the human heart

On the stability of blowup solutions for the critical corotational wave-map problem

MATHICSE Technical Report : Analytical and numerical study of a modified cell problem for the numerical homogenization of multiscale random fields

Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics

Hybrid high-resolution RBF-ENO method

Seamless integration of design and Kirchhoff-Love shell analysis using analysis-suitable unstructured T-splines

Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction