Next-Gen Nanocomposites for Smart Computing: Enhancing Conductivity with Nanomaterials
As Intelligent Computing 4.0 gathers momentum, the push toward sustainable yet high-efficiency materials has become a cornerstone of next-generation computational infrastructure. In response to this imperative, the present study investigates a custom-engineered graphene-zinc oxide-silica (GZS) nanocomposite, designed to meet the dual demands of environmental responsibility and technological performance. By adopting a novel synthesis strategy aimed at boosting both electrical conductivity and energy storage efficiency, these hybrid nanomaterials demonstrate promising compatibility with low-power electronics, nanostructured rods, and polymer-based components. To unravel the complex interplay between structure and function within the GZS matrix, an integrated suite of advanced characterization techniques-including X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM)-was employed. These methods afforded a microscopic window into the material's crystalline architecture and compositional integrity, shedding light on its robust electrochemical behavior. The findings reveal a material system well-suited for intelligent applications such as adaptive sensing platforms and compact energy reservoirs, with clear implications for the evolution of eco-conscious computing. In uniting precision nanoscience with the ethos of sustainability, this work not only supports the foundational vision of Intelligent Computing 4.0 but also signals a forward-looking path toward scalable, high-functioning, and green technological paradigms.
Authors
- Bhupinder Singh (ORCID: https://orcid.org/0000-0002-9185-7944)
- Roop Lal
- Rajesh Kumar (ORCID: https://orcid.org/0000-0002-4911-2981)
Institutions
- Chandigarh University (IN)
Publication Details
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/iceccc65144.2025.11064245
- Primary Topic
- Graphene and Nanomaterials Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00