Pretraining a foundation model to solve partial differential equation (PDE) requires diverse data. To train the foundation model PDEformer-2 for 2D PDEs (GitHub, Gitee), we developed the PDEFoundry-2 ...

Have a look into our jupyter notebooks to get an idea how we do the data generation and how we apply Lie point symmetry data augmentation. We used easier datasets for training the Resnet or the CNN ...

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

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Abstract: We develop a PDE-based approach to multi-agent deployment where each agent measures its relative position to only one neighbor. First, we show that such systems can be modeled by a ...

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Abstract: This article investigates the sensor bias fault detection and diagnosis problem for linear parabolic partial differential equation (PDE) systems under the existence of unknown input signals.

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