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Plasma-Assisted Surface Engineering of Binary Metal Chalcogenides: A Path Toward High Energy Efficiency, Electrocatalysts for Water Splitting, and Urea Oxidation with Stability Prediction via Machine Learning

Swapnil R. Patil, Rakesh Kulkarni, Sourabh B. Ghode, Jungmin Kim, Qazi Muhammad Saqib, Muhammad Noman, Chandrashekhar S. Patil, Youngbin Ko, Sangrak Bae, Yoon‐Young Chang, Janardhan Reddy Koduru, Kolleboyina Jayaramulu, Nilesh R. Chodankar, Jinho Bae

2025ACS Applied Energy Materials18 citationsDOI

Abstract

This study introduces an advanced Cu 2 MnS 2 ctenophore-like nanostructured electrocatalyst, synthesized through a hydrothermal process and enhanced via argon (Ar) plasma activation (Cu 2 MnS 2 -Ar) to improve its performance in overall water splitting (OWS) and urea oxidation reactions (UORs). Plasma activation generates reactive species that modify the material’s surface, increasing its conductivity, electroactive sites, and surface energy, all contributing to enhanced catalytic activity. The Cu 2 MnS 2 -Ar catalyst exhibits impressive performance in hydrogen evolution (HER) and oxygen evolution (OER) reactions, with overpotentials of 0.012 and 0.026 V at 10 and 300 mA/cm 2, respectively, much lower than the untreated Cu 2 MnS 2 catalyst, which shows 0.308 and 0.309 V. More importantly, the developed cell with the Cu 2 MnS 2 -Ar electrocatalyst demonstrates an exceptional overpotential of 1.47 and 1.37 V at 50 mA/cm 2 for the OWS and UOR and, notably, which is much smaller than the noble metal-based catalyst. Conversely, our developed cell exhibits outstanding performance by achieving cell voltages of 1.59 V even under demanding industrial conditions (60 °C). The stability of the Cu 2 MnS 2 -Ar catalyst was further evaluated using time series analysis (TSA) and long short-term memory (LSTM) modeling, which accurately predicts the electrocatalytic behavior, confirming the effectiveness of the modeling technique in understanding the catalyst’s performance.

Topics & Concepts

Binary numberUreaPath (computing)Stability (learning theory)Water splittingMaterials scienceMetalPlasmaSurface (topology)Energy (signal processing)Computer scienceChemical engineeringChemistryCatalysisEngineeringMetallurgyMathematicsMachine learningPhysicsOrganic chemistryQuantum mechanicsPhotocatalysisArithmeticProgramming languageStatisticsGeometryElectrocatalysts for Energy ConversionAdvanced Photocatalysis TechniquesAdvanced Memory and Neural Computing