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

This study introduces an advanced Cu2MnS2 ctenophore-like nanostructured electrocatalyst, synthesized through a hydrothermal process and enhanced via argon (Ar) plasma activation (Cu2MnS2-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 Cu2MnS2-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/cm2, respectively, much lower than the untreated Cu2MnS2 catalyst, which shows 0.308 and 0.309 V. More importantly, the developed cell with the Cu2MnS2-Ar electrocatalyst demonstrates an exceptional overpotential of 1.47 and 1.37 V at 50 mA/cm2 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 Cu2MnS2-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.

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Publication Details

Journal
ACS Applied Energy Materials
Published
2025-02-12
DOI
https://doi.org/10.1021/acsaem.4c02919
Citations
13
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
4.73
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article

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

Nilesh R. Chodankar, Yoon‐Young Chang, Qazi Muhammad Saqib, Swapnil R. Patil et al.
13 citations
ACS Applied Energy Materials
Electrocatalysts for Energy Conversion
4.73
article

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

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

Abstract

This study introduces an advanced Cu2MnS2 ctenophore-like nanostructured electrocatalyst, synthesized through a hydrothermal process and enhanced via argon (Ar) plasma activation (Cu2MnS2-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 Cu2MnS2-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/cm2, respectively, much lower than the untreated Cu2MnS2 catalyst, which shows 0.308 and 0.309 V. More importantly, the developed cell with the Cu2MnS2-Ar electrocatalyst demonstrates an exceptional overpotential of 1.47 and 1.37 V at 50 mA/cm2 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 Cu2MnS2-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.

ACS Applied Energy MaterialsVol. 8(4)
University of Wisconsin–Madison (US), Kwangwoon University (KR), Khalifa University of Science and Technology (AE), Indian Institute of Technology Jammu (IN), Jeju National University (KR)
Affordable and clean energy
Openalex Percentile: Top 5%
Electrocatalysts for Energy Conversion
4.73
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