Molecular-scale thermoelectricity: As simple as 'ABC'

Ismael, A. and Al-Jobory, A. and Wang, X. and Alshehab, A. and Almutlg, A. and Alshammari, M. and Grace, I. and Benett, T.L.R. and Wilkinson, L.A. and Robinson, B.J. and Long, N.J. and Lambert, C. (2020) Molecular-scale thermoelectricity: As simple as 'ABC'. Nanoscale Advances, 2 (11). pp. 5329-5334. ISSN 2516-0230

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Abstract

If the Seebeck coefficient of single molecules or self-assembled monolayers (SAMs) could be predicted from measurements of their conductance-voltage (G-V) 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 G-V characteristics. The theory begins by making a fit to measured G-V curves using three fitting parameters, denoted a, b, c. 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.

Item Type:
Journal Article
Journal or Publication Title:
Nanoscale Advances
Subjects:
?? CURVE FITTINGGRAPHIC METHODSMOLECULESTHERMOELECTRICITYFITTING PARAMETERSMATERIAL PARAMETERMEASUREMENT SETUPMEASUREMENTS OFMOLECULAR SCALENOVEL STRATEGIESSINGLE MOLECULETHERMOELECTRIC PROPERTIESSEEBECK COEFFICIENT ??
ID Code:
149411
Deposited By:
Deposited On:
26 Nov 2020 16:20
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Sep 2023 04:35