Peri-implant bone adaptations to overloading in rat tibiae: experimental investigations and numerical predictions

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We study continuous-domain linear inverse problems that involve a general data-fidelity term and a regularisation term. We consider a regularisation that is formed by the sparsity-promoting total-variation norm, pre-composed with a differential operator th ...

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Peri-implant bone adaptations to overloading in rat tibiae: experimental investigations and numerical predictions

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Intake of Neutral Core Human Milk Oligosaccharides (hmos) During Early Life Improves Long-term Bone Quality

Convergence analysis of the discretization of continuous-domain inverse problems

Testing the accuracy and convergence of scattering calculations using Lorentz reciprocity

From low-rank retractions to dynamical low-rank approximation and back

High-order geometric integrators for the variational Gaussian wavepacket dynamics and application to vibronic spectra at finite temperature

Estimation of the bar stress based on crack width measurements in reinforced concrete structures

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

Residual-based attention in physics-informed neural networks

Iterative removal of sources to model the turbulent electromotive force

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Reliable data-driven decision-making through optimal transport

Applications of the thawed Gaussian approximation to electronic spectroscopy

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

Efficient and Accurate Handling of Periodic Flows in Time-Sensitive Networks

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Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

Low-Rank Tensor Methods for High-Dimensional Problems

An equilibrated flux a posteriori error estimator for defeaturing problems