Advanced Materials for Enhanced Computing Performance: Beyond Silicon Paradigms in High-performance Computing Systems

The exponential growth in computational demands has reached a critical inflection point where traditional silicon-based semiconductors face fundamental physical and thermal limitations. This comprehensive analysis examines the transformative potential of advanced materials—specifically silicon carbide (SiC), gallium nitride (GaN), and emerging graphene-based semiconductors—in overcoming performance bottlenecks that constrain contemporary computing systems. Through systematic evaluation of material properties, manufacturing feasibility, and performance characteristics, this research demonstrates that wide bandgap semiconductors offer superior thermal conductivity, electron mobility, and power efficiency compared to conventional silicon. The investigation synthesizes current literature to establish key findings: SiC exhibits threefold improvements in thermal conductivity (490 W/m·K versus silicon's 148 W/m·K) while maintaining superior electrical properties including higher breakdown voltage and electron saturation velocity; GaN demonstrates exceptional high-frequency performance capabilities with electron mobility exceeding 2000 cm<sup>2</sup>/V·s, enabling switching frequencies above 100 MHz; and graphene presents revolutionary potential with thermal conductivity exceeding 5000 W/m·K and electron mobility approaching 15,000 cm<sup>2</sup>/V·s, though significant bandgap engineering challenges remain. However, manufacturing analysis reveals substantial obstacles including processing costs 3-10 times higher than silicon equivalents, supply chain vulnerabilities particularly for gallium-based materials, and immature production processes, despite the silicon carbide market's projected growth from USD 802.93 million in 2024 to USD 2614.24 million by 2031 indicating strong industry confidence. The research concludes that hybrid integration approaches represent the most pragmatic pathway for advanced material adoption, enabling gradual technology transition while minimizing economic risks by combining advanced materials' performance advantages in specialized applications with silicon's cost-effectiveness for general computing functions, facilitating incremental adoption that scales with manufacturing capability development and market demand.