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SSRNML & AI Methods

Integrated Text-Model Generation-Simulation Framework for Steel Beam

The paper emphasizes the advantages of automating modelling and simulation processes in research, design, and manufacturing, using machine learning to analyze large-scale simulation data and offer insights into unknown situations.

Featured in No. 50 on 22 May 2024 · 5 days after release

Released
17 May 2024
First featured
No. 50 · 22 May 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
6
Identifier
SSRN 4831500

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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