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Crystallography of Honey Bee Comb Construction

Crystallography of Honey Bee Comb Construction
蜂巢结构的晶体学
批准号:
2210628
负责人:
Francisco Lopez Jimenez
金额:
$49.69万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-08-01 至 2025-07-31

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中文摘要
翻译
蜂巢是分布式建筑的杰作。这种蜡制储存结构对蜂群的生存至关重要,由于与生产蜡相关的高能源成本,它以一种近乎最佳的方式建造,将蜡与储存空间的比率降至最低。蜜蜂以惊人的精度建造蜂巢,无论它们工作的表面是否不规则或不平坦。然而,蜜蜂如何使它们的结构适应环境的限制(例如,树上预先存在的空洞)的机制还知之甚少。这个项目的目标是通过将梳子构建过程框定为一个图案形成过程来阐明它的过程,这使我们能够利用梳子结构与晶体和石墨烯等非生物材料结构之间的相似性。这个项目连接了来自多个学科的工具,带来了对动物行为和结晶学的见解。这项研究的结果是一个新的框架,用于建模蜜蜂的集体行为,以及定量描述蜜蜂晶格的几何和拓扑。这个项目不仅将帮助我们了解蜜蜂的集体行为,还将有助于利用这种理解在群体机器人、集体建筑和轻型蜂窝结构领域创造生物启发的系统设计。这项研究项目将解决三个具体问题:(1)蜂窝结构中的不规则性是解释远距离挫折源(例如,树洞的实心边界)的全局规划的结果还是对给定细胞的直接环境的局部反应的结果?(2)蜂窝图案能否被解释为能量最小化过程的结果,如果是的话,与几何挫折下的各种自组织晶体系统中的图案相比较的解决方案是否一致(例如,胶体晶体或石墨烯)?(3)梳子构造的几何问题的最优解在多大程度上受环境的大范围变化所调制,例如工程边界、各种给定的单元格大小或曲率?该项目的研究人员将使用3D打印来构建精确控制和量化的蜂窝基础,这可以用来在实验中引入系统的和可重复的几何挫折来源。最终的梳状结构将被成像和分析(计算机视觉技术,X射线显微镜),以精确地表征单个细胞的几何形状和全局晶格的拓扑结构。这一丰富的信息集将用于开发和验证基于数据驱动代理的模型,以探索集体梳子构建的可能潜在机制。在这个项目中遵循的方法超越了将集体行为视为污名的传统观点--即有机体对局部暗示做出反应,但几乎没有长期影响--以探索物理中介的远程相互作用的影响。这一奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The honeybee comb is a masterpiece of distributed architecture. This wax-made storage structure, which is essential to the survival of the colony, is constructed in a near-optimal manner that minimizes the wax-to-storage space ratio, due to the high energy cost associated with wax production. Honeybees construct the comb with remarkable precision, regardless of irregular boundaries or unevenness of the surface on which they work. Yet the mechanisms by which honeybees adapt their construction to the constraints of the environment (e.g., a pre-existing cavity in a tree) are poorly understood. The goal of this project is to shed light on the process of comb construction by framing it as a pattern formation process, which allows us to leverage the similarities between comb structure and the structure of non-living materials such as crystals and graphene. This project bridges tools from multiple disciplines, bringing insights from animal behavior and crystallography. The outcome of this research is a novel framework for modeling the collective behavior of honeybees as well as quantitatively describing the geometry and topology of the honeybee lattices. This project will not only help us understand the collective behavior of bees, but will also help leverage that understanding to create bio-inspired system designs in the fields of swarm robotics, collective construction, and lightweight cellular structures. This research project will address three specific questions: (1) Are the irregularities in the honeycomb structure the result of global planning that accounts for distant frustration sources (e.g., solid boundaries of a tree cavity) or a local reaction to the immediate surroundings of a given cell? (2) Can the honeycomb pattern be explained as the result of an energy minimization process, and if so, are the solutions comparable to patterns consistently found in a diverse range of self-organized crystallographic systems under geometric frustration (e.g., colloidal crystals or graphene)? (3) To what extent is the optimality of the solution to the geometric problem of comb construction modulated by large-scale changes in the environment, such as engineered boundaries, various given cell sizes, or curvature? The investigators in this project will use 3D-printing to construct precisely controlled and quantified honeycomb foundations, which can be used to introduce systematic and repeatable sources of geometric frustration in the experiments. The final comb structures will be imaged and analyzed (computer vision techniques, x-ray microscopy) to precisely characterize the geometry of individual cells and the topology of the global lattice. This rich information set will be used to develop and validate data-driven agent-based models to explore possible underlying mechanisms of collective comb construction. The approach followed in this project goes beyond the traditional view of collective behavior as stigmergy -- wherein organisms respond to local cues with little or no long-range effects -- to explore the influence of long-range interactions that are physically mediated.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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