Achieving Quasi Intrinsic MoS2 Performance via Liquid-Based Neutralization of Material and Interface Defects with H+ Protons
Source abstract
Abstract
Semiconductor fabrication introduces imperfections such as dangling bonds and charge traps on channel surfaces and interfaces. Addressing these defects becomes challenging with miniaturized structures and low-dimensional materials, because high-energy treatments may cause secondary damage. Ionized hydrogen in the liquid phase neutralizes negatively charged defects through chemical reactions. The bis(trifluoromethanesulfonyl)imide (H-TFSI) solution, effective in mitigating defects in MoS 2, lacks verification of its mechanism and impact on device performance. Treating monolayer MoS 2 FET with H-TFSI induces simultaneous enhancement and degradation, complicating our understanding of the specific reactions. This study employed monolayer and multilayer MoS 2 devices to distinguish the surface and gate dielectric interface influence. In addition to the DC measurements for device performance analysis, low-frequency noise characteristics were examined to provide a more detailed depiction of the interface traps. Treating multilayer MoS 2 with H-TFSI results in more than a 2-fold increase in carrier mobility, and applying a negative gate voltage to further enhance the hydrogen ion reaction leads to a mobility increase exceeding 3-fold, reaching a high value of 128.3 cm 2 /V s compared to the baseline device. The interface trap density decreased, and the threshold voltage shifted positively. This signifies that the hydrogen ions from H-TFSI validated their remarkable healing effects on the surface and interface defects in MoS 2 devices by demonstrating their superior performance in passivating interface traps and neutralizing material defects.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: 2D Materials and Applications · Ferroelectric and Negative Capacitance Devices · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Energy Science, Sungkyunkwan University, Suwon, Suwon 16419, Republic of Korea
Department of Center for Artificial Atoms, Sungkyunkwan University, Suwon, Suwon 16419, Republic of Korea
Department of Smart Fabrication Technology, Sungkyunkwan University, Suwon, Suwon 16419, Republic of Korea
Department of Electrical Engineering, University of Ulsan, Ulsan, Ulsan 44610, Republic of Korea
Funding
the National Research Foundation (NRF) funded by the Korean government (MSIT)
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