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Within the silicon carbide (SiC) industry chain, substrate suppliers hold significant leverage, primarily due to value distribution. SiC substrates account for 47% of the total value, followed by epitaxial layers at 23%, while device design and manufacturing constitute the remaining 30%. This inverted value chain stems from the high technological barriers inherent to substrate and epitaxial layer production. Three major challenges plague SiC substrate growth: stringent growth conditions, slow growth rates, and demanding crystallographic requirements. These complexities contribute to increased processing difficulty, ultimately resulting in low product yields and high costs. Furthermore, the epitaxial layer’s thickness and doping concentration are critical parameters directly impacting the final device performance.

Silicon material is a solid material with certain semiconductor electrical properties and physical stability, and provides substrate support for the subsequent integrated circuit manufacturing process. It is a key material for silicon-based integrated circuits. More than 95% of semiconductor devices and more than 90% of integrated circuits in the world are made on silicon wafers.

Silicon carbide (SiC) crystal growth furnaces are the cornerstone of SiC wafer production. While sharing similarities with traditional silicon crystal growth furnaces, SiC furnaces face unique challenges due to the material’s extreme growth conditions and complex defect formation mechanisms. These challenges can be broadly categorized into two areas: crystal growth and epitaxial growth.

The recent announcement of the 2024 Nobel Prize in Physics has brought unprecedented attention to the field of artificial intelligence.