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News/Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design
arxiv
PublishedJuly 20, 2026 at 4:00 AM
▲bullish

Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.15560v1 Announce Type: cross Abstract: Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enforcement. Large language models (LLMs) can propose these choices, but in

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Discussion
Mentioned models
02
  • 01
    PINNs
  • 02
    LLMs
Source
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arxiv
Read original ↗All from arxiv →
Tags
03
#neural-networks#evolutionary-algorithm#optimization

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Mentioned models
02
  • 01
    PINNs
  • 02
    LLMs
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#neural-networks#evolutionary-algorithm#optimization
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Originally published on arxiv ↗
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