Quantifying the performance of perovskite retinomorphic sensors
Quantifying the performance of perovskite retinomorphic sensors
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DOI：
10.1088/1361-6463/ac1d10
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发表时间：
2021-11-25
影响因子：
3.4
通讯作者：
Labram, John G.
中科院分区：
文献类型：
--
作者：
Herrera, Cinthya Trujillo;Labram, John G.
钙钛矿视网膜传感器 (PRS) 会根据光强度的变化产生输出电压，但不会响应恒定的照明。虽然这些设备已经通过实验证明，但尚不存在其行为的可靠定量模型。在本报告中，我们根据照明强度的阶跃变化得出了输出电压和光功率密度之间的简单关系。从这个模型中，我们派生出一个参数 Lambda，它可以作为 PRS 性能的代理。我们概述了一个简单的提取策略。根据设备数据计算 Lambda 并在两组实验数据上演示该技术。我们评估最大 Lambda = 5.3 x 10(-4) cm mW(-1/2)。我们估计目标值 Lambda = 1 cm mW(-1/2) 对于大多数商业应用来说就足够了，并讨论了一些可以用来增加 Lambda 的优化策略。
Perovskite retinomorphic sensors (PRSs) produce an output voltage in response to changes in optical intensity, but not to constant illumination. While these devices have been demonstrated experimentally, there does not yet exist a robust quantitative model for their behaviour. In this report, we derive a simple relationship between output voltage and optical power density in response to a step-change in illumination intensity. From this model we derive a parameter Lambda, which can serve as a proxy for PRS performance. We outline a simple strategy to extract. Lambda from device data and demonstrate this technique on two sets of experimental data. We evaluate a maximum Lambda = 5.3 x 10(-4) cm mW(-1/2). We approximate that a target value of Lambda = 1 cm mW(-1/2) would be adequate for most commercial applications and discuss some optimization strategies that could be followed to increase Lambda.