cs.CE · 2026-07-02 · No. 41

Computational Engineering, Finance, and Science, 2026-07-02.

1 new papers in cs.CE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction

    Xin-Yang Liu, Xiantao Fan, Jian-Xun Wang

    cs.CE · cs.AI · physics.comp-ph

    Predicting complex spatiotemporal dynamics in physical processes often demands computationally expensive numerical methods or data-driven neural networks that suffer from high training costs, error accumulation, and limited generalizability to unseen parameters. An effective approach to address these challenges is leveraging physics priors in training neural networks, known as physics-informed deep learning (PiDL). In this work, we introduce...

    arxiv.org/abs/2607.00460 · PDF

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