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563 articles for “revolutionize”
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Potential Applications of Ceramic Matrix Composites: Advancements, Benefits and Challenges
Abstract: Ceramic Matrix Composites (CMCs) are materials that mix or fuse ceramic fibres with a ceramic matrix to synthesize a composite/compound. CMCs may be manufactured from a range of ceramic materials, including carbon, carbon fibers, silicon carbide, glass ceramic, alumina, etc. The CMC’s final qualities are determined by its production method and the type of filler employed. Recent breakthroughs in CMC technology have resulted in considerable performance gains, making them suitable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 99–107 Read article
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Advances in Biopolymer Based Nanocomposite Materials for Food Packaging Applications
Abstract: This Article provides an in-depth exploration of the recent innovations in biopolymer-based food packaging, highlighting natural materials like starches and proteins, as well as synthetic biopolymers such as polylactic acid (PLA). With the escalating global concerns about environmental degradation and the detrimental effects of plastic waste, there has been a growing emphasis on finding eco-friendly, biodegradable substitutes to reduce plastic pollution and dependence on fossil fuels. Among the biopolymer alternatives, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 390–404 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article