Search for tag: "acm seminar"

(17/04/2024) Daniel Lecoane (Northwestern University) : Turbulence, Waves, and Stars

Title: Turbulence, Waves, and Stars Abstract: While stars are fluid bodies, the flows within them have long been shrouded in mystery. Recent space telescopes have allowed us to peer into stars in a…

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20231108 - Konstantin Rusch : Physics-inspired Machine Learning

Title: Physics-inspired Machine Learning Abstract: Combining physics with machine learning is a rapidly growing field of research.Thereby, most work focuses on leveraging machine learning methods to…

From  Kaibo Hu 0 likes 87 plays 0  

20231101 Dmitry Agafontsev - Solitonic models of nonlinear phenomena: recent results and perspectives

Title: Solitonic models of nonlinear phenomena: recent results and perspectives.Abstract: The concept of a diluted soliton gas was introduced in 1971 by V.E. Zakharov as an infinite collection of…

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20231025 Ralf Hiptmair - Boundary Element Exterior Calculus

Title: Boundary Element Exterior CalculusAbstract: We consider first-kind boundary integral equations (BIEs) arising from boundary value problems for the Hodge-Laplacians and the Dirac operator…

From  Kaibo Hu 0 likes 36 plays 0  

20231011 Marco Discacciati - Modelling filtration through porous media: from domain decomposition towards digital twins

Title: Modelling filtration through porous media: from domain decomposition towards digital twins.Abstract: Filtration through porous media is an important process occurring, e.g., in geophysics and…

From  Kaibo Hu 0 likes 56 plays 0  

04/10/2023, Maciej Buze (Heriot-Watt University): Exploring atomistic energy landscapes via bifurcation theory and numerical continuation techniques

Title: Exploring atomistic energy landscapes via bifurcation theory and numerical continuation techniques Abstract: Potential energy landscapes associated with atomistic modelling of matter are…

From  Kaibo Hu 0 likes 41 plays 0  

26/04/2023: Lucas Chesnel - Acoustic passive cloaking using thin outer resonators

Abstract. We consider the propagation of acoustic waves in a 2D waveguide unbounded in one direction and containing a compact obstacle. The wavenumber is fixed so that only one mode can propagate.…

From  Matias Ruiz 0 likes 3 plays 0  

19/04/2023: Peter Olver - Two New Developments in Noether's Two Theorems

Abstract: Noether's First Theorem relates strictly invariant variational problems and conservation laws of their Euler--Lagrange equations. The Noether correspondence was extended by her…

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29/03/2023 Geoff Vasil: Tensors and polynomials, for fun and profit

The talk will start with a short introduction to the open-source Dedalus computational framework for solving PDEs. I'll briefly discuss some design motivations and interesting applied problems…

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01/02/2023 Ricardo Vinuesa: Sensing and control of turbulent flows through deep learning

Abstract: The advent of new powerful deep neural networks (DNNs) has fostered their application in a wide range of research areas, including more recently in fluid mechanics. In this presentation, we…

From  Matias Ruiz 0 likes 28 plays 0  

23/11/2022 Stefan Klaus: Data-driven analysis of complex dynamical systems

Abstract: Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator…

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16/11/2022 Yunan Yang: Benefits of Weighted Training in Machine Learning and PDE-based Inverse Problems

Abstract: Many models in machine learning and PDE-based inverse problems exhibit intrinsic spectral properties, which have been used to explain the generalization capacity and the ill-posedness of…

From  Matias Ruiz 1 likes 89 plays 0  

09/11/2022 Klaus Mosegaard: Planetary surface mapping as an inverse problem

Abstract: Mapping landforms on the surface of the Moon and the planets is important for resources exploration and future human settlements, and it presents interesting and difficult mathematical…

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(02/11/2022) Susana Gomes: Control of falling liquid films using a hierarchical model approach

Abstract - The flow of a thin film down an inclined plane is a canonical setup in fluid mechanics and associated technologies, with applications such as coating, where the liquid-gas interface should…

From  Matias Ruiz 0 likes 72 plays 0  

(26/10/2022) Matt Thorpe: A Random Walk from Semi Supervised Learning to Neural Networks

Abstract: Semi-supervised learning is the problem of finding missing labels; more precisely one has a data set of feature vectors of which a (often small) subset are labelled. The semi-supervised…

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(19/10/2022) Antonio Vergari: Semantic Probabilistic Layers for Neuro-Symbolic Learning

Abstract: Many structured-output prediction (SOP) tasks in machine learning sport both soft (probabilistic) and hard (symbolic) constraints. Extending current deep learning architectures to correctly…

From  Matias Ruiz 2 likes 116 plays 0