Concept
Overlap–add method
Publications associées (26)
Modeling friction and wear using an adaptive discrete-continuum coupling
Manon Eugénie Voisin--Leprince
When two objects slide against each other, wear and friction occur at their interface. The accumulation of wear forms what is commonly referred to as a ``third-body''. Understanding third-body evolution has significant applications in industry, where contr ...
EPFL2024Experimental and ab initio derivation of interface stress in nanomultilayered coatings: Application to immiscible Cu/W system with variable in-plane stress
Pandula Manura Liyanage, Claudia Cancellieri, Giacomo Lorenzin
Interface stress is a fundamental descriptor for interphase boundaries and is defined in strict relation to the interface energy. In nanomultilayers with their intrinsically high interface density, the functional properties are dictated by the interface st ...
Elsevier2024Characterization of metal organic frameworks of interest for gas adsorption/separation applications
Metal-Organic Frameworks (MOFs) are a class of porous materials that are applicable in many energy and environmentally relevant areas, due to their unique features including unprecedented internal surface areas and easy chemical tunability. Gas separation ...
EPFL2020DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
Nathanaël Perraudin, Michaël Defferrard
Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learning toolbox and have led to many breakthroughs in Artificial Intelligence. So far, these neural networks (NNs) have mostly been developed for regular Euclidean domains such as those su ...
ELSEVIER SCIENCE BV2019Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs
Convolutional neural networks (CNNs) are powerful tools in Deep Learning mainly due to their ability to exploit the translational symmetry present in images, as they are equivariant to translations. Other datasets present different types of symmetries (e.g ...
2019An FFT-based Numerical Method for Elasto-Plastic Contact
Jean-François Molinari, Guillaume Anciaux, Lucas Henri Galilée Frérot
Contact of rough surfaces is of prime importance in the study of friction and wear. Numerical simulations are well suited for this non-linear problem, but natural surfaces being fractal [1], they have high discretization requirements. There is therefore a ...
2018Columnar self-assembly of N,N ',N ''-trihexylbenzene-1,3,5-tricarboxamides investigated by means of NMR spectroscopy and computational methods in solution and the solid state
Diego Carnevale, Mathieu Baudin
The columnar self-assembly resulting from units of N, N', N"-trihexylbenzene-1,3,5-tricarboxamide is investigated in solution and the solid state by means of NMR spectroscopy. A parallel computational study utilizing both semiempirical and DFT methods allo ...
Royal Soc Chemistry2017Computational Quantum Chemical Studies on Radicals
Radicals play an important role in many areas of chemistry, such as atmospheric, aquatic, polymer, and biological, to name a few. Radicals are often highly reactive species which are short-lived and therefore harder to study by experimental techniques. In ...
EPFL2013