China Thin Film Deposition Edge Ring Manufacturers, Suppliers, Factory

Currently, many semiconductor devices employ mesa device structures, which are predominantly created through two types of etching: wet etching and dry etching. While the simple and rapid wet etching plays a significant role in semiconductor device fabrication, it has inherent drawbacks such as isotropic etching and poor uniformity, which result in limited control when transferring small-sized patterns. Dry etching, however, with its high anisotropy, good uniformity, and repeatability, has become prominent in semiconductor device fabrication processes. The term “dry etching” broadly refers to any non-wet etching technology used for removing surface materials and transferring micro and nano patterns, including laser etching, plasma etching, and chemical vapor etching. The dry etching discussed in this text specifically pertains to the narrow application of processes using plasma discharge—either physical or chemical—to modify material surfaces.

Thick, high-purity silicon carbide (SiC) layers, typically exceeding 1mm, are critical components in various high-value applications, including semiconductor fabrication and aerospace technologies. This article delves into the Chemical Vapor Deposition (CVD) process for producing such layers, highlighting key process parameters, material characteristics, and emerging applications.

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.

In semiconductor manufacturing, the precision and stability of the etching process are paramount. One critical factor in achieving high-quality etching is ensuring that wafers are perfectly flat on the tray during the process.

Etching Process: Silicon vs. Silicon Carbide

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