Silicon Device-Based Sensing for Sustainability
Sufi Zafar, Thomas Picunko, et al.
IEDM 2023
Understanding the dynamics of hydrogen ion reactivity at the solid/liquid interface is of paramount importance for applications involving ion sensing in electrolytes. However, the correlation of this interfacial process to noise generation is poorly characterized. Here, the relationship is unveiled by characterizing the interfacial process with impedance spectroscopy assisted by a dedicated electrochemical impedance model. The model incorporates both thermodynamic and kinetic properties of the amphoteric hydrogen ion site-binding reactions with the surface OH groups. It further takes into consideration the distributed nature of the characteristic energy of the binding sites. The simulated impedance matches the experimental data better with an energy distribution of the kinetic parameters than with that of the thermodynamic ones. Since the potentiometric low-frequency noise (LFN) originating from the solid/liquid interface correlates excellently with the real part of its electrochemical impedance spectrum, this work establishes a method for evaluating sensing surface quality aimed at mitigating LFN.
Sufi Zafar, Thomas Picunko, et al.
IEDM 2023
Zhen Zhang, Bin Yang, et al.
Applied Physics Letters
Eduard Cartier, Wanki Kim, et al.
IRPS 2019
Zhen Zhang, F. Pagette, et al.
IEEE Electron Device Letters