Ismael Ali, Al-Jobory Alaa, Wang Xintai, Alshehab Abdullah, Almutlg Ahmad, Alshammari Majed, Grace Iain, Benett Troy L R, Wilkinson Luke A, Robinson Benjamin J, Long Nicholas J, Lambert Colin
Department of Physics, Lancaster University Lancaster LA1 4YB UK
Department of Physics, College of Education for Pure Science, Tikrit University Tikrit Iraq.
Nanoscale Adv. 2020 Oct 19;2(11):5329-5334. doi: 10.1039/d0na00772b. eCollection 2020 Nov 11.
If the Seebeck coefficient of single molecules or self-assembled monolayers (SAMs) could be predicted from measurements of their conductance-voltage (-) characteristics alone, then the experimentally more difficult task of creating a set-up to measure their thermoelectric properties could be avoided. This article highlights a novel strategy for predicting an upper bound to the Seebeck coefficient of single molecules or SAMs, from measurements of their - characteristics. The theory begins by making a fit to measured - curves using three fitting parameters, denoted , , . This 'ABC' theory then predicts a maximum value for the magnitude of the corresponding Seebeck coefficient. This is a useful material parameter, because if the predicted upper bound is large, then the material would warrant further investigation using a full Seebeck-measurement setup. On the other hand, if the upper bound is small, then the material would not be promising and this much more technically demanding set of measurements would be avoided. Histograms of predicted Seebeck coefficients are compared with histograms of measured Seebeck coefficients for six different SAMs, formed from anthracene-based molecules with different anchor groups and are shown to be in excellent agreement.
如果仅通过测量单分子或自组装单分子层(SAMs)的电导-电压(-)特性就能预测其塞贝克系数,那么就可以避免创建用于测量其热电特性的实验装置这一难度更大的任务。本文重点介绍了一种新颖的策略,即通过测量单分子或SAMs的-特性来预测其塞贝克系数的上限。该理论首先使用三个拟合参数(分别记为、、)对测量得到的-曲线进行拟合。然后,这个“ABC”理论预测出相应塞贝克系数大小的最大值。这是一个有用的材料参数,因为如果预测的上限较大,那么该材料就值得使用完整的塞贝克测量装置进行进一步研究。另一方面,如果上限较小,那么该材料就没有前景,从而可以避免进行这套技术要求更高的测量。文中将预测的塞贝克系数直方图与由具有不同锚定基团的蒽基分子形成的六种不同SAMs的测量塞贝克系数直方图进行了比较,结果显示二者吻合度极高。