Showing 1–20 of 47 results
/ Date/ Name
Dec 11, 2019Rosita: Towards Automatic Elimination of Power-Analysis Leakage in CiphersJan 27, 2020Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDASep 19, 2024Shape-informed surrogate models based on signed distance function domain encodingApr 16, 2020Biophysically detailed mathematical models of multiscale cardiac active mechanicsMar 6, 2024Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problemsJun 1, 2025Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEsApr 4, 2025Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanicsMar 27, 2026The internal law of a material can be discovered from its boundaryJul 30, 2020An oscillation-free fully partitioned scheme for the numerical modeling of cardiac active mechanicsFeb 11, 2021A High Speed Integrated Quantum Random Number Generator with on-Chip Real-Time Randomness ExtractionApr 28, 2023Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processesNov 9, 2024Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modellingMay 6, 2025Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical modelsFeb 23, 2026Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentationApr 16, 2022Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domainsOct 25, 2021A machine learning method for real-time numerical simulations of cardiac electromechanicsOct 28, 2021The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardiaNov 29, 2017Topology optimization of multiple anisotropic materials, with application to self-assembling diblock copolymersJan 30, 2025Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine LearningFeb 25, 2026Learning geometry-dependent lead-field operators for forward ECG modeling