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    <link>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/3647</link>
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    <pubDate>Mon, 18 May 2026 13:32:12 GMT</pubDate>
    <dc:date>2026-05-18T13:32:12Z</dc:date>
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      <title>Ferrocenyl-dithiolane integrated Cu(i) coordination polymers: framework engineering for synergistic redox activity towards supercapattery applications</title>
      <link>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18370</link>
      <description>Title: Ferrocenyl-dithiolane integrated Cu(i) coordination polymers: framework engineering for synergistic redox activity towards supercapattery applications
Authors: Pandey, Dilip; Singh, Mayank K.; Maurya, Sarvesh K.; Ojha, Abhishek; Rai, Dhirendra Kumar; Raghuvanshi, Abhinav
Abstract: This work presents the rational design of ferrocene-integrated Cu(i) coordination polymers (CPs) that harness the synergistic redox activity of Fe(ii) and Cu(i) centers for high-performance energy storage. Two new CPs, Fc-Cu1 and Fc-Cu2, were obtained by self-assembly of CuI with (2-methyl-1,3-dithiolan-2-yl)ferrocene and 1,1′-bis(2-methyl-1,3-dithiolan-2-yl)ferrocene, respectively. Both CPs consist of a similar [{Cu2(µ4-I)(µ2-I)}]n array where ferrocene ligands coordinate via sulfur atoms, leading to a one-dimensional polymeric structure for Fc-Cu1 and a layered 2D architecture for Fc-Cu2. The 2D architecture of Fc-Cu2 improves electrical conductivity, charge transport, and ion diffusion compared to its 1D counterpart, resulting in a higher diffusion-controlled charge storage capacity of 450 C g−1 (areal capacity: 855 mC cm−2) at 1 A g−1. A symmetric supercapattery device assembled using Fc-Cu2 electrodes delivers a maximum energy and power density of 14.5 Wh kg−1 and 6 kW kg−1, respectively, and retains 85% of its initial capacity over 10 000 cycles, demonstrating excellent cycling stability. This study underscores the significance of combining multiple redox-active centers with controlled framework dimensionality in the development of next-generation CP/MOF-based energy storage systems. This journal is © The Royal Society of Chemistry, 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Hybrid Quantum Convolutional Neural Network for Myopathy Detection from EMG Signals</title>
      <link>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18351</link>
      <description>Title: Hybrid Quantum Convolutional Neural Network for Myopathy Detection from EMG Signals
Authors: Makam, Kiran Kumar
Abstract: Muscle weakening and degeneration are hallmarks of myopathy, a neuromuscular ailment that is difficult to identify since its symptoms can be confused with those of other disorders including neuropathy. Despite being a key diagnostic tool, electromyography (EMG) interpretation is frequently subjective and necessitates expert analysis. New developments in quantum computing allow for hybrid quantum-classical models that improve the processing of biomedical signals. This study introduces a system for automated myopathy identification using EMG signals that is based on Quantum Convolutional Neural Networks (QCNNs). Combining the durability of deep learning with quantum parallelism, the suggested design uses a conventional neural network for classification and quantum circuits for effective feature extraction. The QCNN outperforms both classical CNN and purely quantum baselines in accuracy, precision, recall, F1-score, and ROC-AUC, according to experimental results, which demonstrate that it reaches 96.99% accuracy. The viability of real-Time clinical implementation was also assessed by analyzing inference time and qubit use. Although encouraging, issues with scalability-due to qubit constraints-model interpretability for clinical trust, and generalization to a variety of patient populations still exist. In the era of Noisy Intermediate-Scale Quantum (NISQ), this work shows how QCNNs can be used for medical diagnostics. It also lays the groundwork for further studies into multi-class classification, cross-modal learning, and deployment on actual quantum hardware. © 2025 IEEE.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18351</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Recent advancements in carbon quantum dots and polymer composites: emerging applications and future perspectives</title>
      <link>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18272</link>
      <description>Title: Recent advancements in carbon quantum dots and polymer composites: emerging applications and future perspectives
Authors: Sahu, Bishnupada; Yadav, Vaishali; Dubey, Mrigendra
Abstract: This critical review provides a concise summary of the growing interest in carbon quantum dot (CQD)–polymer composites, highlighting their synthesis methods and synergistic properties and emphasising emerging applications, recent advancements and future prospects. Efforts have been made to provide an in-depth introduction to CQDs, their classification, various sustainable synthesis methodologies of CQDs, the main functional characteristics of CQDs and techniques to impregnate CQDs inside polymer matrices. Further, the combination of nanoscale CQDs inside the polymer matrix creates a unique array of properties, including tunable photoluminescence, biocompatibility and electrical properties. These tunable properties make CQD–polymer composites potential materials for exploring cutting-edge applications in vibrant domains such as sensing, energy conversion, energy storage, biomedicine, environmental remediation, anti-corrosion, and flame-retardants. The critical review includes current challenges and future potential research directions to inspire researchers to investigate new avenues in the field of CQD–polymer composite materials. This journal is © The Royal Society of Chemistry, 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Advancements in Rechargeable Zinc-Air Batteries: Strategic Modifications in MnxCoyO4 Bifunctional Catalysts and Air Cathode</title>
      <link>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18267</link>
      <description>Title: Advancements in Rechargeable Zinc-Air Batteries: Strategic Modifications in MnxCoyO4 Bifunctional Catalysts and Air Cathode
Authors: Rajore, Shraddha M.; Shirage, Parasharam Maruti.
Abstract: This review critically studies MnxCoyO4-based spinel materials as bifunctional electrocatalysts for rechargeable zinc-air batteries (ZABs). It focuses on the fundamentals and extends comprehensive insights of the key electrochemical characterization techniques for evaluating bifunctional electrocatalyst. The influence of crystal structure and symmetry, particularly the dominance of the cubic MnCo2O4 polymorph on the electrochemical performance, is explored in detail, along with comparisons to underexplored tetragonal and trigonal counter forms. Additionally, various potential synthesis strategies are summarized for tailoring morphology and phase in order to control their catalytic activity. Advanced cathode architectures, such as Janus electrodes and binder-free configurations, are also discussed in relation to their role in enhancing air electrode performance. Furthermore, review discusses the performance-enhancing strategies, like facet engineering, alloying, carbon compositing, and transition metal doping. The review is further supported by the inclusion of the emerging concept of anode-free ZABs. A dedicated section highlights the electrochemical metrics of pristine and composite MnCo2O4-based catalysts, offering valuable insight into structure-performance correlations. This focused investigation through this comprehensive review aims to provide guidance in the rational design of high-performance air cathodes for next-generation ZABs and is believed to direct the future research community working in the field of electrocatalysis and air-based rechargeable batteries. © 2026 Wiley-VCH GmbH.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18267</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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