Work

Comparing 4H-SiC NPN Buffer Layers by Epitaxial Growth and Implantation for Neural Interface Isolation

Year: 2024

Type: article

Abstract: 4H Silicon Carbide multichannel neural interface devices using NPN junctions for channel isolation were fabricated using four different doping structures. Two devices used thicker, lower-doped epitaxial layers, one used thin, highly-doped implanted layers implanted into a N epilayer, and one used thin-highly-doped implanted layers into an N substrate. The devices were characterized in terms of resistance, charge delivery, leakage current through the substrate, and crosstalk between channels. The thickest, lower-doped epitaxial layers performed best, resulting in great isolation and good performance. While the implanted layers showed high charge delivery, their resistance is reduced due to the thin layers and the isolation is particularly poor.

Source: Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena

DOI: 10.4028/p-jqctr5

Authors: Scott Greenhorn, Edwige Bano, Valerie Stambouli, Konstantinos Zekentes

Institution: Institut polytechnique de Grenoble

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: hybrid

Funder: Agence Nationale de la Recherche

Awards: All silicon carbide long-lifetime neural interfaces, IDEX UGA