论文标题
电场诱导相分离的电介质分解
Dielectric breakdown by electric-field induced phase separation
论文作者
论文摘要
设备级系统的介电和导电性能的控制对于提高能源和信息相关技术的效率很重要。在某些情况下,例如神经形态计算,希望将最初绝缘培养基的电导率提高几个数量级,从而导致有效的介电介质分解。在这里,我们表明,通过调整系统中施加的电场的值{具有可变的介电常数和电导率},例如离子插入材料,我们可以通过数量级改变设备级的电导率。我们将这种行为归因于整个系统中渗透的丝状导电域的形成,{仅当电导率取决于浓度}时才形成。最后,我们讨论了我们的结果在神经形态计算设备和锂离子电池中的适用性。
The control of the dielectric and conductive properties of device-level systems is important for increasing the efficiency of energy- and information-related technologies. In some cases, such as neuromorphic computing, it is desirable to increase the conductivity of an initially insulating medium by several orders of magnitude, resulting in effective dielectric breakdown. Here, we show that by tuning the value of the applied electric field in systems { with variable permittivity and electric conductivity}, e.g. ion intercalation materials, we can vary the device-level electrical conductivity by orders of magnitude. We attribute this behavior to the formation of filament-like conductive domains that percolate throughout the system, { which form only when the electric conductivity depends on the concentration}. We conclude by discussing the applicability of our results in neuromorphic computing devices and Li-ion batteries.