{
  "annotation_id": "06d57cd0-67b7-4df4-87df-35faba093352",
  "date_created": "2026-02-17T05:53:16.081000Z",
  "date_modified": "2026-02-17T05:53:16.081000Z",
  "file_hash": "d4cb89a357fd9f1c751eff0cc93dee29b85f8916a72fe01182bfdced1a567e80",
  "private": false,
  "record": {
    "abstract": "Imagine a world where beauty and technology move in perfect harmony, revealing tiny masterpieces hidden in the water. This world is Nature, and diatoms are the stars. Masters of assembling complex hierarchical glass structures, these microscopic algae are true technological gems, and their potential is boundless when it comes to transforming our world. From pharmaceutical applications to biomaterial synthesis, water purification to advanced optical systems, solar cells to the production of new fuels, architecture to design objects, diatoms teach us that Nature\u0027s potential is limitless, proving to be invaluable allies for innovation and sustainable development. But how can organisms so small hold such immense potential? In this chapter, we will explore the key characteristics of diatoms and unveil the hidden secrets behind their beauty and multifunctionality, offering an interdisciplinary vision that celebrates the interaction between art and science. We provide concrete examples of structural materials that demonstrate how diatoms can serve as the meeting point between artistic creativity and technological innovation, inspiring new design paradigms and reshaping how we approach materials science and engineering.",
    "arxiv_id": "2601.08761",
    "authors": [
      "Ludovico Musenich",
      "Flavia Libonati"
    ],
    "categories": [
      "physics.pop-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Architected Structural Material Design Inspired by Diatoms: Merging Nature\u0027s Beauty With Engineering Through Biomimetics",
    "url": "https://arxiv.org/abs/2601.08761",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5519d8b4-ba7b-4475-b45e-5173706c86fd",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}