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[Submitted on 4 Aug 2024] View a PDF of the paper titled DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams, by Mohammad Sadegh Eshaghi and 5 other authors View PDF HTML (experimental) Abstract:This study investigates different Scientific Machine Learning (SciML) approaches for the analysis of functionally graded (FG) porous beams and compares them under a new framework. The beam material properties are assumed to vary as an arbitrary continuous function. The methods consider the output of a neural network/operator as an approximation to the displacement fields and derive the equations governing beam behavior based on the continuum…

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arXiv:2408.03074v1 Announce Type: new Abstract: In this work, we want to give an overview on which pragmatic abilities have been tested in LLMs so far and how these tests have been carried out. To do this, we first discuss the scope of the field of pragmatics and suggest a subdivision into discourse pragmatics and interactional pragmatics. We give a non-exhaustive overview of the phenomena of those two subdomains and the methods traditionally used to analyze them. We subsequently consider the resulting heterogeneous set of phenomena and methods as a starting point for our survey of work on discourse pragmatics and…