TY - JOUR
T1 - Experimental voltammetry analyzed using artificial intelligence: thermodynamics and kinetics of the dissociation of acetic acid in aqueous solution
AU - Chen, Haotian
AU - Li, Danlei
AU - Kätelhön, Enno
AU - Miao, Ruiyang
AU - Compton, Richard G.
N1 - Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.
PY - 2022/4/5
Y1 - 2022/4/5
N2 - Artificial intelligence (AI) is used to quantitatively analyze the
voltammetry of the reduction of acetic acid in aqueous solution
generating thermodynamic and kinetic data. Specifically, the variation
of the steady-state current for the reduction of protons at a platinum
microelectrode as a function of the bulk concentration of acetic acid is
recorded and analyzed giving data in close agreement with independent
measurements, provided the AI is trained with accurate and precise
knowledge of diffusion coefficients of acetic acid, acetate ions, and H+.
AB - Artificial intelligence (AI) is used to quantitatively analyze the
voltammetry of the reduction of acetic acid in aqueous solution
generating thermodynamic and kinetic data. Specifically, the variation
of the steady-state current for the reduction of protons at a platinum
microelectrode as a function of the bulk concentration of acetic acid is
recorded and analyzed giving data in close agreement with independent
measurements, provided the AI is trained with accurate and precise
knowledge of diffusion coefficients of acetic acid, acetate ions, and H+.
UR - http://www.scopus.com/inward/record.url?scp=85128370410&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.2c00110
DO - 10.1021/acs.analchem.2c00110
M3 - Article
AN - SCOPUS:85128370410
SN - 0003-2700
VL - 94
SP - 5901
EP - 5908
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 15
ER -