cs.CE · 2026-09-04 · No. 105

Computational Engineering, Finance, and Science, 2026-09-04.

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

01 — The papers

3 entries
  1. 01

    Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach

    Giacomo Rizzieri, Saif-Ur-Rehman, Jörg F. Unger, Annika Robens-Radermacher

    cs.CE · cs.AI · cs.LG · math.NA

    The geometric morphology of deposited filaments can significantly influence the structural performance and stability of 3D concrete-printed (3DCP) structures. However, most finite element (FEM)-based approaches for buildability assessment represent printed layers as simplified rectangles, potentially limiting predictive accuracy. This study proposes a geometry-informed modelling framework that integrates the deep-learning-based filament shape...

    arxiv.org/abs/2609.04028 · PDF

  2. 02

    Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data

    Arthur Jessop, Mohammed Alsubeihi, Ben Moseley, Ashwin Kumar Rajagopalan

    cs.CE · cs.LG · math.NA

    Reliable transport models are essential when modelling and optimising many chemical engineering processes, yet, most models assume hand-picked constitutive laws which may not reflect reality, and often assume initial conditions are known exactly. Both restrictions can significantly bias model predictions and lead to systematic error when used in predictive and control settings. Black-box neural surrogate alternatives for modelling can better...

    arxiv.org/abs/2609.04011 · PDF

  3. 03

    sp-DBA: a general framework for adaptive transform-domain computation

    Jingkun Jiang, Pingchuan Deng, Yang Xia

    cs.CE · cs.DC

    Transform-domain methods simplify analysis and computation, making them central to scientific computing and signal processing. However, existing adaptive strategies often introduce new data structures or require substantial workflow redesign, limiting efficient execution on massively parallel hardware. Here we present spectral dynamic block activation (sp-DBA), an adaptive acceleration framework for transform-domain workflows. sp-DBA...

    arxiv.org/abs/2609.03922 · PDF

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