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<p>In this study, a simple and cost-effective sol–gel method was employed to synthesize a series of LaFe<sub>0.4</sub>Co<sub>0.6</sub>O<sub>3</sub>/rGO nanocomposite perovskite oxides with varying mass ratios (4:1, 5:1 and 6:1), which were investigated as potential catalysts for the thermal decomposition of ammonium perchlorate (AP). The composition of perovskite and rGO was optimized using DTG peak temperature values. TGA–DTA results indicate that the typical two-step decomposition transforms into a single-step process when employing the LaFe<sub>0.4</sub>Co<sub>0.6</sub>O<sub>3</sub>/rGO(6:1) composite. The material effectively lowers the thermal decomposition peak of pure AP from 324&#xa0;°C to 308&#xa0;°C when incorporated at concentrations ranging from 1 to 5%. Structural confirmation was carried out using IR, UV–Visible, XRD, and Raman analyses. The average crystallite size of the optimized composite material was ~ 22&#xa0;nm. FE-SEM images further revealed the uniform distribution of perovskite nanoparticles across the rGO surface. Artificial neural networks (ANN) were applied to predict the activation energy (MSE = 0.12 for BR and 1.6 for the LM model) and the TG curves (MSE = 0.75 for BR and 0.8 for the LM model).</p> Graphical abstract <p></p>

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LaFe0.4Co0.6O3/rGO composite material catalysis over ammonium perchlorate and its artificial neural investigation

  • 期刊论文

  • 发表日期：

    2026年1月13日

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  • Taruna Likhariya,
  • Pragnesh N. Dave

摘要

In this study, a simple and cost-effective sol–gel method was employed to synthesize a series of LaFe0.4Co0.6O3/rGO nanocomposite perovskite oxides with varying mass ratios (4:1, 5:1 and 6:1), which were investigated as potential catalysts for the thermal decomposition of ammonium perchlorate (AP). The composition of perovskite and rGO was optimized using DTG peak temperature values. TGA–DTA results indicate that the typical two-step decomposition transforms into a single-step process when employing the LaFe0.4Co0.6O3/rGO(6:1) composite. The material effectively lowers the thermal decomposition peak of pure AP from 324 °C to 308 °C when incorporated at concentrations ranging from 1 to 5%. Structural confirmation was carried out using IR, UV–Visible, XRD, and Raman analyses. The average crystallite size of the optimized composite material was ~ 22 nm. FE-SEM images further revealed the uniform distribution of perovskite nanoparticles across the rGO surface. Artificial neural networks (ANN) were applied to predict the activation energy (MSE = 0.12 for BR and 1.6 for the LM model) and the TG curves (MSE = 0.75 for BR and 0.8 for the LM model).

Graphical abstract