---
title: Fourier Feature Physics-Informed NN
url: https://www.ml-quant.com/papers/ssrn/5286781/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5286781
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5286781
featured: 2025-06-18
citations: unknown
topic: Other
---


# Fourier Feature Physics-Informed NN

The study introduces a tuning-free framework that accurately represents multifrequency responses in structural dynamics equations, removing the need for manual tuning.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5286781
- Identifier: SSRN 5286781
- Released: 2025-06-09
- First featured: Quant Letter No. 102 (2025-06-18): https://www.ml-quant.com/issues/2025-06-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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