English(EN) One-Shot Generative Design for Disordered Metamaterials via Self-Organizing Neural Cellular Automata

神经元胞自动机实现无序超材料的一次性生成设计

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-16 01:43

研究人员开发了一种新颖的生成设计框架，使用神经元胞自动机来创建无序超材料。该方法模仿了自然的自组织过程，仅需一个训练模板即可生成具有多样化特性的复杂微结构。该框架允许在不重新训练的情况下控制方向和各向异性，从而能够创建用于机械隐身和软体机器人等应用的具有空间变化的材料。 AI

影响这种方法为设计复杂的无序材料提供了一种数据高效且可泛化的方法，有望加速生物医学植入物和软体机器人等领域的创新。

排序理由该集群包含一篇详细介绍新颖生成设计方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Research; 该集群包含一篇详细介绍新颖生成设计方法的学术论文。
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arXiv cs.LG TIER_1 English(EN) · Yujie Xiang, Liwei Wang · 2026-07-17 04:00

通过自组织神经元胞自动机实现无序超材料的一次性生成设计

arXiv:2607.14475v1 Announce Type: cross Abstract: Disordered metamaterials feature microstructures with inherent randomness and irregularity, enabling them to achieve broader property coverage and superior performance unavailable in their regular counterparts. Despite their promi…
arXiv cs.LG TIER_1 English(EN) · Liwei Wang · 2026-07-16 01:43

通过自组织神经元胞自动机实现无序超材料的一次性生成设计

Disordered metamaterials feature microstructures with inherent randomness and irregularity, enabling them to achieve broader property coverage and superior performance unavailable in their regular counterparts. Despite their promise, designing disordered microstructures is substa…