STM Journals Peer-reviewed research from Consortium e-Learning Network

3 publications

  • Published Subscription Review Article Special issue

    Growth, Structural and Optical characteristics of Citric Acid Doped Copper Sulphate Single Crystals Polymer Composites Photonic Applications

    By A. Chandra Vadhana, M. Shivani, S. Vasanthi, M. Nageshwari, C. Rathika Thaya Kumari, V. Ravisankar, V. Chithambaram

    Abstract: The organic material Citric Acid doped Copper Sulphate single crystals (CACS) was synthesized and single crystal was grown by slow evaporation method. The incorporation of citric acid, an organic compound, introduces polymer-like functional behavior into the crystal matrix, forming an organic-inorganic hybrid composite with enhanced optical and structural characteristics. Single crystal XRD confirmed the triclinic system with unit cell parameters: a = 5.96 Å, b = 6.11 Å, c = …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 482–488 Read article

  • Published Subscription Review Article Special issue

    Synthesis of Silver Nanoparticles of Cissus Quandrangularis and It’s Virtual Screening Against Gastric Cancer

    By A.Sheela Devi, M. Mary Jaculine, R. Josephine Usha, S. Ilayarasan, V. Chithambaram, G. Viju

    Abstract: Gastric cancer, also known as stomach cancer, is the third leading cause of cancer-related deaths globally and remains a major health challenge due to its poor prognosis and high mortality, largely attributed to late-stage diagnosis. In this context, plant-based nanomaterials are gaining momentum for targeted therapeutic applications. Cissus quadrangularis, a medicinal plant native to India from the Vitaceae family, is traditionally used for its diverse healing properties. Its stem, in …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1551–1569 Read article

  • Published Subscription Original Research Special issue

    Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites

    By M.Sowmiya, K. Aakash, G.A. Hariharan, V. Chithambaram, A.B Hajira Be

    Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article

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