29461 results
Series
Admission Policy : Due to high attendance, the public is advised to arrive at least 45 minutes before the event begins. Seats cannot be reserved and are assigned strictly on a first-come, first-served basis. If the venue reaches capacity, the public may …
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Event
11:00 to 12:30
Event
Documents and Media Download the support material Abstract The design of smart, autonomous mechanical structures capable of performing real-time monitoring of their integrity and taking proactive measures during operation to prevent downtime or failure …
16:45 to 17:30
Event
Documents and Media Download the support material Abstract To meet the rigorous demands of Best-Estimate Plus Uncertainty (BEPU) in modern nuclear engineering, it is essential to characterize safety margins and system dynamics with both high fidelity and …
16:00 to 16:45
Event
Documents and Media Download the support material Abstract This talk presents the Polytope Division Method (PDM), a greedy algorithm for solving high-dimensional configuration optimization problems—such as those arising in model reduction and optimal …
14:45 to 15:30
Event
Abstract Multi-query simulation settings require efficient surrogates for the underlying processes. We consider a family of kernel-based greedy schemes for approximating the solutions of PDEs, exemplified by elliptic boundary value problems [1]. The …
14:00 to 14:45
Series
Introduction For decades, mathematical models describing the spread of infectious diseases have primarily been conceptual models, whose realism could be limited by the lack of data necessary to characterize the underlying processes. This symposium will …
Event
Documents and Media Download the support material Abstract Joint work with Romain Verdière (Inria Grenoble) and Olivier Zahm (Inria Grenoble). During this talk, I will present a gradient-enhanced algorithm for high-dimensional function approximation that …
11:45 to 12:30
Event
Documents and Media Download support Abstract Dirac-Frenkel instantaneous residual minimization evolves nonlinear parametrizations of PDE solutions over time, but ill-conditioning can make the parameter dynamics non-unique. We interpret this …
11:00 to 11:45
Andrea Manzoni
Reduced-Order Modeling and Scientific Machine Learning: Synergies and Opportunities
Andrea Manzoni
Reduced-Order Modeling and Scientific Machine Learning: Synergies and Opportunities
Symposium
Event
Abstract Among several recently proposed data-driven Reduced Order Models (ROMs), deep learning-based ROMs (DL-ROMs) have proven to be a successful strategy for constructing non-intrusive, highly accurate surrogates for the real-time solution of …
09:45 to 10:30
Mario Ohlberger
Reduced-Order Surrogate Models for PDE-Constrained Optimization and Inverse Problems
Mario Ohlberger
Reduced-Order Surrogate Models for PDE-Constrained Optimization and Inverse Problems
Symposium
Event
Documents and Media Download support Abstract Traditionally, model order reduction for parameterized systems relies on a so-called offline phase, in which reduced approximation spaces are constructed and the reduced parameterized system is built, followed …
16:45 to 17:30
Event
Documents and Media Download the support material Abstract In this presentation, we will discuss recent advances in hybrid twins and their synergies with artificial intelligence informed by biases ranging from physics and geometry to resilience. Examples …
16:00 to 16:45
Event
Documents and Media Download the support material Abstract The simulation and optimization of complex technical systems often require models that are both sufficiently accurate and computationally efficient. In engineering practice, this balance is …
14:45 to 15:30
Event
Documents and Media Download the support material Abstract Recent advances in nonlinear model reduction indicate that overcoming linear Kolmogorov limitations requires principled combinations of projection-based approximation and data-driven modeling [3]. …
14:00 to 14:45
Event
Abstract This talk addresses numerical methods for gradient flows in Hilbert spaces based on neural network approximations. The central idea is to represent the solution on a neural network manifold and evolve its parameters over time. At first glance, …
11:45 to 12:30
Angelo Iollo
Collocated Reduced-Order Models for High-Order Schemes: Analysis and Application
Angelo Iollo
Collocated Reduced-Order Models for High-Order Schemes: Analysis and Application
Symposium
Event
Documents and Media Download the support material Abstract In this talk, I will present Collocated Model Order Reduction (cMOR), a novel hyper-reduction framework specifically designed for high-order discretizations. The method evaluates the governing …
11:00 to 11:45
Event
Documents and Media Download the support material Abstract In this talk, we present a reduced-basis method for computing the lowest eigenvalue(s) of a parameterized family of eigenvalue problems motivated by—but not limited to—many-body quantum problems. …
09:45 to 10:30
Virginie Galland Ehrlacher
Neural Network Approximations of Solutions to Schrödinger Equations
Virginie Galland Ehrlacher
Neural Network Approximations of Solutions to Schrödinger Equations
Symposium
Event
Documents and Media Download the support material Abstract Solving eigenvalue problems for high-dimensional Schrödinger operators is a central challenge in numerical analysis, with applications ranging from quantum mechanics to the approximation of …
09:00 to 09:45
The Paths of the Image
Diane Bodart, chair History of the Arts in Early Modern Europe
The Paths of the Image
Diane Bodart, chair History of the Arts in Early Modern Europe
Opening lecture
Series