论文标题
分布网络通过几何自我组织实现统一的灌注
Distribution networks achieve uniform perfusion through geometric self-organization
论文作者
论文摘要
通用流量分配网络通常不会在整个服务区域以均匀的速度以均匀的速度提供负载，而是在营养源附近的供应区域，而下游区域则不足。在这项工作中，我们证明了局部自适应规则如何与养分密度结合组织生长导致流动网络自组织以均匀提供营养。该几何自适应规则可以被推广并进口到基于力学的自适应模型，以解决组织中养分或生长因子的影响空间梯度。
A generic flow distribution network typically does not deliver its load at a uniform rate across a service area, instead oversupplying regions near the nutrient source while leaving downstream regions undersupplied. In this work we demonstrate how a local adaptive rule coupling tissue growth with nutrient density results in a flow network that self-organizes to deliver nutrients uniformly. This geometric adaptive rule can be generalized and imported to mechanics-based adaptive models to address the effects spatial gradients in nutrients or growth factors in tissues.
