Results 121 to 130 of about 37,100 (232)

Latent Neural Operator for Solving Forward and Inverse PDE Problems

open access: yesAdvances in Neural Information Processing Systems 37
Neural operators effectively solve PDE problems from data without knowing the explicit equations, which learn the map from the input sequences of observed samples to the predicted values. Most existing works build the model in the original geometric space, leading to high computational costs when the number of sample points is large.
Wang, Tian, Wang, Chuang
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PDE-aware deep learning for inverse problems in cardiac electrophysiology: datasets

open access: green, 2021
Riccardo Tenderini   +3 more
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Inverse problems for infinite-dimensional transport PDEs on Wasserstein space

open access: yes
We develop a foundational framework for inverse problems governed by evolutionary partial differential equations (PDEs) on the Wasserstein space of probability measures. While the forward problems for such transport-type PDEs have been extensively and intensively studied, their corresponding inverse problems--which aim to reconstruct unknown operators,
Liu, Hongyu   +2 more
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On Qualitative Experimental Design for PDE Parameter Identification Inverse Problems [PDF]

open access: yes
Der Erfolg der Rekonstruktion eines Modellparameters aus indirekten experimentellen Messungen durch Lösen des inversen Problems hängt ma{\ss}geblich von der Qualität der zur Verfügung stehenden Daten ab. Ziel der Versuchsplanung ist daher die Auswahl von geeigneten experimentellen Setups, die für diese Aufgabe informative Daten erzeugen.
openaire   +1 more source

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