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            <name>Title</name>
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                <text>Faculty Publications</text>
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    <name>Article</name>
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          <name>Creator</name>
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              <text>Jos, Ben; Babu, Chrisma Rose; Li, Zhengyou; Pankin, Ilia A.; Soldatov, A.V.; Hossain, Aslam; Anila, E.I.</text>
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              <text>Optimizing supercapacitor electrodes via lithium-induced JahnTeller modulation in CuO</text>
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          <name>Date</name>
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              <text>01-01-2026</text>
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          <name>Source</name>
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            <elementText elementTextId="206721">
              <text>Journal of Energy Storage;Volume;160;Issue;;Article No.;121933;</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1016/j.est.2026.121933" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.est.2026.121933&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105034727830?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105034727830?origin=resultslist&lt;/a&gt;</text>
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              <text>Jos B., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics, Union Christian College, Aluva, Kerala, 683102, India, Sree Sankara College, Kalady, Kerala, 683574, India; Babu C.R., Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Cochin, 682022, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Li Z., Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostovon-Don, 344090, Russian Federation; Pankin I.A., Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostovon-Don, 344090, Russian Federation; Soldatov A.V., Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostovon-Don, 344090, Russian Federation; Hossain A., Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostovon-Don, 344090, Russian Federation, Department of Chemistry, Daegu University, Gyeongsan, 38453, South Korea; Anila E.I., Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Cochin, 682022, India</text>
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              <text>AbstractThe development of advanced electrode materials with superior electrochemical properties is essential to meet the growing demand for efficient energy storage technologies. While surface engineering is common to address this fundamental challenge, the present work shifts the focus from external morphology to internal structural stabilization. Through an integrated experimental and density functional theory (DFT) approach, we demonstrate that a moderate lithium incorporation of 4at. % achieves an optimal balance in CuO properties by suppressing subtle JahnTeller distortions, enhancing crystallite size, narrowing the band gap, and improving both optical and electrical conductivity. X-ray Absorption Spectroscopy (XAS) confirms that Li-ion incorporation increases local symmetry around Cu sites, while EXAFS analysis identifies localized structural disorder associated with dopant substitution. This dual effect stabilizes the CuO lattice while simultaneously creating additional redox-active sites. Electrochemical testing validates this approach, as the optimized 4at. % Li-doped CuO electrode delivers a high specific capacitance of 656F/g at 1 A g?1. The fabricated symmetric supercapacitor device delivers an energy density of ~7Whkg?1 at a power density of ~700Wkg?1, demonstrating the feasibility of Li-doped CuO thin films for supercapacitor applications, although further optimization is required to improve long-term cycling stability. This synergistic experimentaltheoretical framework provides both fundamental insight and practical guidelines for the rational design of doped transition-metal oxides, offering a cost-effective and scalable strategy for next-generation energy storage applications.  2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</text>
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          <name>Subject</name>
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              <text>Copper oxide; Energy; Li doping; Local symmetry distortion; Supercapacitor</text>
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              <text>Elsevier Ltd</text>
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              <text>ISSN: 2352152X;</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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