2016
DOI: 10.1109/ted.2016.2580220
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Process Optimization and Device Characterization of Nonvolatile Charge Trap Memory Transistors Using In–Ga–ZnO Thin Films as Both Charge Trap and Active Channel Layers

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Cited by 31 publications
(36 citation statements)
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“…Finally, 90nm-thick aluminum (Al) is deposited by thermal evaporation as a gate metal for both TFTs. It is patterned by a lift-off process [4][5][6]. An optical microscopy image of the fabricated multilevel memory is shown in Fig.…”
Section: Fabricationmentioning
confidence: 99%
“…Finally, 90nm-thick aluminum (Al) is deposited by thermal evaporation as a gate metal for both TFTs. It is patterned by a lift-off process [4][5][6]. An optical microscopy image of the fabricated multilevel memory is shown in Fig.…”
Section: Fabricationmentioning
confidence: 99%
“…The basic working mechanism of photonic memories is that the photo‐induced charge carriers are trapped into or detrapped from the charge trapping layer across the interface between the active layer and trapping layer during the programming/erasing process, resulting in a shift of threshold voltage during the reading process. Therefore, the performance of OPTM significantly depends upon the non‐volatile bistability of the charge‐trapping layer and the charge transfer process during the charge‐trapping and reading process . However, majority researches of light programming memory currently focused on the design of the charge‐trapping layer to increase number of discrete charge‐trapping sites such as metallic or semiconducting nanoparticles to improve the memory performance .…”
Section: Introductionmentioning
confidence: 99%
“…[1] However, organic phototransistor memory (OPTM) currently showed unsatisfying performance such as small memory window and short retention time compared with memories with electric programming and erasing. [14] However, majority researches of light programming memory currently focused on the design of the charge-trapping layer to increase number of discrete charge-trapping sites such as metallic or semiconducting nanoparticles to improve the memory performance. [1,12,13] The basic working mechanism of photonic memories is that the photo-induced charge carriers are trapped into or detrapped from the charge trapping layer across the interface between the active layer and trapping layer during the programming/erasing process, [9] resulting in a shift of threshold voltage during the reading process.…”
mentioning
confidence: 99%
“…As a typical architecture of nonvolatile memory devices, a floating-gated a-IGZO TFT memory has been intensively investigated in recent years. Up to now, various materials have been explored as a floating gate (i.e., charge storage medium), such as dielectrics [14, 15], metal nanocrystals [16, 17], and semiconducting materials [1821]. Since a-IGZO is a natural n-type semiconductor, and hole inversion is hardly realized in an a-IGZO TFT under a negative gate bias, therefore, the a-IGZO TFT memories usually have a poor erasing efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, Zhang et al [21] fabricated a TFT memory using a-IGZO as both the charge trapping layer (CTL) and the channel layer, which exhibited electrically programmable and erasable characteristics, as well as good data retention. Meanwhile, Yun et al also investigated the characteristics of the a-IGZO TFT memories with different compositional IGZO CTL, revealing a decreasing memory window with increasing the O 2 partial pressure (P O2 ) during sputtering deposition of the CTL [18]. In addition, Bak et al reported the performance of the a-IGZO TFT memories with various conductivity ZnO CTLs and inferred that the optimized electronic nature of bandgap structure for the ZnO CTL could be one of the most important factors to realize highly functional oxide TFT memories [20].…”
Section: Introductionmentioning
confidence: 99%