ML-QuantSubscribe

SSRNML & AI Methods

Accelerating Fracture Simulations with ML

The paper suggests using unsupervised machine learning and kmeans clustering to speed up multiscale simulations of heterogeneous quasibrittle materials.

Featured in No. 49 on 15 May 2024 · 6 days after release

Released
9 May 2024
First featured
No. 49 · 15 May 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
4
Identifier
SSRN 4822796

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

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page