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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.15682 |
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| _version_ | 1866914482347835392 |
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| author | Pierre, Skyler R. St. Vervenne, Thibault Darwin, Ethan C. Kuhl, Ellen |
| author_facet | Pierre, Skyler R. St. Vervenne, Thibault Darwin, Ethan C. Kuhl, Ellen |
| contents | Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether this structural anisotropy translates into macroscopic mechanical and sensory anisotropy. Using orthogonal tension, compression, and shear experiments on three fungi-based materials, we identify distinct symmetry classes that range from strongly anisotropic to effectively isotropic behavior. Automated model discovery reveals that fiber-dependent invariants emerge only when mechanically relevant, and enables direct identification of material symmetry from data. These results demonstrate that microstructural anisotropy does not universally imply anisotropic mechanics or perception and establish a data-driven framework to infer symmetry in complex soft materials. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_15682 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | When structure does not imply symmetry Pierre, Skyler R. St. Vervenne, Thibault Darwin, Ethan C. Kuhl, Ellen Computational Engineering, Finance, and Science Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether this structural anisotropy translates into macroscopic mechanical and sensory anisotropy. Using orthogonal tension, compression, and shear experiments on three fungi-based materials, we identify distinct symmetry classes that range from strongly anisotropic to effectively isotropic behavior. Automated model discovery reveals that fiber-dependent invariants emerge only when mechanically relevant, and enables direct identification of material symmetry from data. These results demonstrate that microstructural anisotropy does not universally imply anisotropic mechanics or perception and establish a data-driven framework to infer symmetry in complex soft materials. |
| title | When structure does not imply symmetry |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2604.15682 |