2026-10-14T16:30:03Z https://www.scidb.cn/oai

10.57760/sciencedb.jim.00054 2026-05-06T21:37:25Z

2026-05-06 The data of article "High-Efficiency Construction and Performance Optimization of Surface-Modified LSCF-GDC Multiphase Composite Air Electrodes" doi:10.57760/sciencedb.jim.00054 en To enable the efficient operation of reversible solid oxide cells (RSOCs) at intermediate or lower temperatures, the development of high-performance air electrodes is crucial. This work addresses the insufficient oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) activity of the conventional La0.6Sr0.4Co0.2Fe0.8O3–δ-Gd0.2Ce0.8O3‑δ (LSCF-GDC) air electrode at these temperatures by constructing a nano-catalyst coating on the LSCF-GDC electrode skeleton via a simple and cost-effective infiltration method. Through systematic optimization of the sintering temperature, loading amount and type of catalysts, Pr0.5Sr0.5CoO3–δ (PSC) is confirmed as the optimal catalyst for modification. The modified symmetrical cell exhibits a polarization resistance (Rp) of 0.16 Ω·cm2 at 600 ℃, 71.4% lower than that of the pristine LSCF-GDC air electrode (0.56 Ω·cm2). Relaxation time distribution (DRT) analysis indicates that PSC nanoparticles significantly enhanced the ORR/OER kinetics by synergistically optimizing oxygen diffusion, surface exchange, and ion transport processes. The single cell with PSC modification achieves an outstanding peak power density of 1.23 W cm–2 in the fuel cell (FC) mode at 700 ℃ with 92.19% enhancement. Both FC and electrolysis cell (EC) modes modified with nano-PSC exhibit superior long-term stabilities. This study demonstrates that PSC impregnation modification is an effective strategy for comprehensively improving the overall performance of LSCF-GDC air electrodes, which is of great significance for promoting intermediate temperature RSOC technology. reversible solid oxide cells; air electrode; surface modification; Pr0.5Sr0.5CoO3 catalyst; oxygen reduction/evolution reaction chen ting Shen Xuesong RESTRICTED dataset http://www.doi.org/10.15541/jim20250496 Science Data Bank