A two-level HPRNN framework is proposed that embeds physical properties into latent spaces to surrogate nonlinear elasto-plastic yarn behavior and meso-to-macro transitions for woven composites.
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Eywa enables language-based agentic AI systems to collaborate with specialized scientific foundation models for improved performance on structured data tasks.
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Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks
A two-level HPRNN framework is proposed that embeds physical properties into latent spaces to surrogate nonlinear elasto-plastic yarn behavior and meso-to-macro transitions for woven composites.
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Heterogeneous Scientific Foundation Model Collaboration
Eywa enables language-based agentic AI systems to collaborate with specialized scientific foundation models for improved performance on structured data tasks.