Publication date: 10th April 2024
Barium lanthanide cobaltites with perovskite structure have been studied as potential electrodes for electrochemical cells due to their mixed oxygen ionic – electronic conductivity[1]. More recently[2,3], protonic defect formation has been shown in some of these oxides. Moreover, our previous studies have shown that compositional complexity induces changes in both the structure and transport properties of this system[4]. Therefore, we decided to take a step further and leverage the emerging field of high entropy oxides. In these materials, compositional complexity is taken to the extreme by introducing up to a dozen (or even more) cations into one sublattice[5]. This approach allows for the discovery of new material properties and the enhancement of features such as electronic and/or ionic conductivities
This talk will focus on how structure, chemical composition and electronic states affect protonic defect formation and total conductivity of BaLnCo2Fe1-xO6-δ. The study explores first simple compositions with one or two different lanthanides on the A-site and then introduces up to 12 different elements in one sublattice in equimolar proportions (e.g. BaLa1/12Ce1/12Pr1/12 Nd1/12 Sm1/12 Eu1/12 Gd1/12Tb1/12Dy1/12Ho1/12Er1/12Tm1/12Co2O6-δ). We evaluate changes in structure, total conductivity, Seebeck coefficient and water uptake occurring as an effect of introducing multiple elements in one sublattice. For selected compositions partial protonic conductivity is measured using a modified Hebb-Wagner DC polarization method.
Project FunKeyCat is supported by the National Science Centre, Poland under the M-ERA.NET 2, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no 685451.
Financial support of these studies from Gdańsk University of Technology by the DEC-3/1/2023/IDUB/III grant under the RADIUM- ‘Excellence Initiative - Research University’ program is gratefully acknowledged. Financial support of these studies from Gdańsk University of Technology by the DEC-1/1/2024/IDUB/III.4c/Tc grant under the Technetium - ‘Excellence Initiative - Research University’ program is gratefully acknowledged. This research was financially supported by the National Science Centre (NCN), Poland, within the project 2019/35/B/ST5/00888.