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  • Open Access

    ARTICLE

    Atomistic Insights into Aluminium–Boron Nitride Nanolayered Interconnects for High-Performance VLSI Systems

    Mallikarjun P. Y.1, Rame Gowda D. N.1, Trisha J. K.1, Varshini M.1, Poornesha S. Shetty1, Mandar Jatkar1,*, Arpan Shah2

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072507 - 12 January 2026

    Abstract As circuit feature sizes approach the nanoscale, traditional Copper (Cu) interconnects face significant hurdles posed by rising resistance-capacitance (RC) delay, electromigration, and high power dissipation. These limitations impose constraints on the scalability and reliability of future semiconductor technologies. Our paper describes the new Vertical multilayer Aluminium Boron Nitride Nanoribbon (AlBN) interconnect structure, integrated with Density functional theory (DFT) using first-principles calculations. This study explores AlBN-based nanostructures with doping of 1Cu, 2Cu, 1Fe (Iron), and 2Fe for the application of Very Large Scale Integration (VLSI) interconnects. The AlBN structure utilized the advantages of vertical multilayer interconnects… More >

  • Open Access

    ARTICLE

    Efficient Energy and Delay Reduction Model for Wireless Sensor Networks

    Arslan Iftikhar1, M. A. Elmagzoub2, Ansar Munir1,*, Hamad Abosaq Al Salem2, Mahmood ul Hassan3, Jarallah Alqahtani2, Asadullah Shaikh2

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1153-1168, 2023, DOI:10.32604/csse.2023.030802 - 20 January 2023

    Abstract In every network, delay and energy are crucial for communication and network life. In wireless sensor networks, many tiny nodes create networks with high energy consumption and compute routes for better communication. Wireless Sensor Networks (WSN) is a very complex scenario to compute minimal delay with data aggregation and energy efficiency. In this research, we compute minimal delay and energy efficiency for improving the quality of service of any WSN. The proposed work is based on energy and distance parameters as taken dependent variables with data aggregation. Data aggregation performs on different models, namely Hybrid-Low… More >

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