AI 中文总结
该研究通过朗之万动力学模拟，探究密度增强运动性群体感应的非平衡系统，发现超临界条件下会形成多种空间模式，为相关生物系统研究提供了参考。
AI 中文摘要
通过朗之万动力学模拟，研究了遵循密度增强运动性（DEM）规则的粒子非平衡系统：粒子在局部密度低于临界值时为被动态，高于临界值时为主动态，该机制是常规群体感应规则的逆过程。具体探究了远大于粒子尺寸的群体规模及两个活动水平，当密度、群体规模和活动度均超过临界值时，系统发生相分离，形成低能区与高能区；被动粒子组织成孔洞、条纹、迷宫状结构等不同空间模式，而主动粒子形成气体态。表征了所得稳态，确定了不同形态区域选择的定性机制，还讨论了这些结果与受类似群体感应机制调控的生物系统、表现出相关空间组织形式的生物系统的相关性，最后提出了未来研究方向。
英文摘要
Using Langevin dynamics simulations, I investigate nonequilibrium systems of particles following a density-enhanced motility (DEM) rule: particles are passive below a critical local density and active above it. This mechanism represents an inverse of the conventional quorum-sensing rule. I explore specifically quorums much larger than particle size and at two levels of activity. Above critical values of the density, quorum size, and activity, the system undergoes phase separation into low- and high-energy regions. The passive particles organize into distinct spatial patterns, including holes, stripes, and labyrinthine structures, while the active particles form a gas. I characterize the resulting steady states and identify the qualitative mechanisms governing the selection of different morphological regimes. I further discuss the relevance of these results to biological systems governed by analogous quorum-sensing mechanisms and to biological systems exhibiting related forms of spatial organization. Finally, I present directions for future investigation.
