Department of Chemical & Biological Engineering, Northwestern University, Evanston, IL 60208.
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Proc Natl Acad Sci U S A. 2022 Jul 19;119(29):e2203470119. doi: 10.1073/pnas.2203470119. Epub 2022 Jul 12.
Electrical transport in semiconducting and metallic particle suspensions is an enabling feature of emerging grid-scale battery technologies. Although the physics of the transport process plays a key role in these technologies, no universal framework has yet emerged. Here, we examine the important contribution of shear flow to the electrical transport of non-Brownian suspensions. We find that these suspensions exhibit a strong dependence of the transport rate on the particle volume fraction and applied shear rate, which enables the conductivity to be dynamically changed by over 10 decades based on the applied shear rate. We combine experiments and simulations to conclude that the transport process relies on a combination of charge and particle diffusion with a rate that can be predicted using a quantitative physical model that incorporates the self-diffusion of the particles.
半导体和金属颗粒悬浮液中的电流输运是新兴的网格规模电池技术的一个实现特性。尽管输运过程的物理性质在这些技术中起着关键作用，但尚未出现通用框架。在这里，我们研究了剪切流对非布朗悬浮液电流输运的重要贡献。我们发现，这些悬浮液的传输速率强烈依赖于颗粒体积分数和施加的剪切速率，这使得电导率能够根据施加的剪切速率动态变化超过 10 个数量级。我们结合实验和模拟得出结论，传输过程依赖于电荷和颗粒扩散的组合，其速率可以使用包含颗粒自扩散的定量物理模型来预测。
