论文标题
使用布朗运动对表面诱导效应的随机推断
Stochastic Inference of Surface-Induced Effects using Brownian Motion
论文作者
论文摘要
布朗在禁闭和接口处的运动是一种规范的情况，从基本的生物物理学到纳米级工程遇到。使用Lorenz-Mie框架，我们将单个微粒的热诱导的三维轨迹，在咸水溶液中，在刚性壁的附近以及表面电荷存在下。我们构建了时间依赖性位置和位移概率密度函数，并研究后者的非高斯特征，这是壁附近阻碍迁移率的直接特征。基于这些分布，我们实施了一种新颖，可靠和自校准的多进化方法，从而允许在纳米级，平衡电位和FemtOnewton分辨率下空间分辨的扩散系数的热噪声限制推理。
Brownian motion in confinement and at interfaces is a canonical situation, encountered from fundamental biophysics to nanoscale engineering. Using the Lorenz-Mie framework, we optically record the thermally-induced tridimensional trajectories of individual microparticles, within salty aqueous solutions, in the vicinity of a rigid wall, and in the presence of surface charges. We construct the time-dependent position and displacement probability density functions, and study the non-Gaussian character of the latter which is a direct signature of the hindered mobility near the wall. Based on these distributions, we implement a novel, robust and self-calibrated multifitting method, allowing for the thermal-noise-limited inference of diffusion coefficients spatially-resolved at the nanoscale, equilibrium potentials, and forces at the femtoNewton resolution.
