2023
DOI: 10.1016/j.apsusc.2023.157642
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Successive crystallization in indium selenide thin films for multi-level phase-change memory

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Cited by 8 publications
(6 citation statements)
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“…As grown InSe thin films prefer the amorphous nature of growth [6][7][8]. Films deposited by the thermal evaporation technique onto amorphous substrates (glass) showed amorphous nature of growth [6].…”
Section: Introductionmentioning
confidence: 99%
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“…As grown InSe thin films prefer the amorphous nature of growth [6][7][8]. Films deposited by the thermal evaporation technique onto amorphous substrates (glass) showed amorphous nature of growth [6].…”
Section: Introductionmentioning
confidence: 99%
“…The crystallinity process needed few hours [7] to be reached. In addition multi-crystallization process in amorphous InSe is achieved via heating process in the temperature range of 25 °C-400 °C [8]. Other works reported the possibility of obtaining crystalline phase of In 2 Se 3 via thermal annealing process in the range of 250 °C-350 °C [9].…”
Section: Introductionmentioning
confidence: 99%
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“…Currently, the major approaches for realizing MLC include (1) programming strategies, such as MLC PCM-based programming algorithms to control the crystallization ratios of materials through electrical impulses in order to achieve resistance changes; (2) new device structures to expand the scope of MLC applications, such as nanowire structural design, resonator switching control, and optically controlled PCM; and (3) material engineering to potentially realize multilevel storage, such as nanostacked multilayer composite films , and phase-change materials with multiple crystallization processes. , Recently, interfacial PCM based on GeTe/Ti–Sb 2 Te 3 was proposed to obtain efficient multilevel states with ultralow power consumption . Xu et al . realized multilevel storage by utilizing successive phase transitions of In 2 Se 3 among individual crystalline phases.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, the problem of the "storage wall" formed by the difference in operation speed between processor cache and dynamic random storage in traditional von Neumann systems is more obvious in the era of big data and cloud computing. 1,2 Phase-change memory (PCM), with its good switching efficiency, high complementary metal−oxide− semiconductor (CMOS) compatibility, and scalability is a promising solution to overcome the above bottleneck. 3,4 When the memory is programmed, the high and low resistance between the crystalline state (SET) and the amorphous state (RESET) of the phase-change material in the PCM is recognized as binary logic "0" and "1", and the phase change can be reversibly triggered by electrical pulses or laser light.…”
Section: Introductionmentioning
confidence: 99%