Publication
Numerical experiments with MALDI Imaging data
Related publications (32)
Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain
Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...
EPFL2024CONTROL OF HYPERBOLIC AND PARABOLIC EQUATIONS ON NETWORKS AND SINGULAR LIMITS
vanishing viscosity, networks. This work has received funding from the Alexander von Humboldt-Professorship program, the Transregio 154 Project "Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks" of the DFG, the grant PI ...
Amer Inst Mathematical Sciences-Aims2024Landscapes of DNA Mechanics and Genomes
The local physical properties - such as shape and flexibility - of the DNA double-helix is today widely believed to be influenced by nucleic acid sequence in a non-trivial way. Furthermore, there is strong evidence that these properties play a role in many ...
EPFL2023Deep Learning Meets Sparse Regularization
Deep learning (DL) has been wildly successful in practice, and most of the state-of-the-art machine learning methods are based on neural networks (NNs). Lacking, however, is a rigorous mathematical theory that adequately explains the amazing performance of ...
2023Parallel temporal signal processing enabled by polarization-multiplexed programmable THz metasurfaces
Romain Christophe Rémy Fleury, Ali Momeni
Under the trends of multifunctionality, tunability, and compactness in modern wave -based signal processors, in this paper, we propose a polarization-multiplexed graphene-based metasurface to realize distinct mathematical operators on the parallel time-dom ...
Optica Publishing Group2022Data integration for the numerical simulation of cardiac electrophysiology
Alfio Quarteroni, Andrea Manzoni, Luca Dede', Stefano Pagani
The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing thera ...
WILEY2021Optimal Design of Heat-Integrated Water Allocation Networks
François Maréchal, Ivan Daniel Kantor, Maziar Kermani
Industrial operations consume energy and water in large quantities without accounting for potential economic and environmental burdens on future generations. Consumption of energy (mainly in the form of high pressure steam) and water (in the form of proces ...
2019New ionization and tagging methods for mass spectrometry
Mass spectrometry (MS) is an essential detection tool in bioanalytical chemistry owing to its exceptional selectivity and sensitivity, paired with rapid analyte identification and quantification. In this thesis, two classical MS and a newly developed ioniz ...
EPFL2017The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications
Alfio Quarteroni, Andrea Manzoni, Christian Vergara
Mathematical and numerical modelling of the cardiovascular system is a research topic that has attracted remarkable interest from the mathematical community because of its intrinsic mathematical difficulty and the increasing impact of cardiovascular diseas ...
Cambridge Univ Press2017Novel Approaches in Cold Ion Spectroscopy for Structural Characterization of Biomolecules in the Gas Phase
Mass spectrometry is a powerful analytical technique, which has become invaluable across a wide range of scientific fields, such as "omics" sciences (e.g., proteomics), doping control and forensic sciences, drug development, environmental analysis, geologi ...
EPFL2016