Abstract

Recently, the research for new non-volatile memory in the semiconductor industry has become intense, because current flash memory technologies based on the floating-gate (FG) concept are expected to be difficult to scale down for high density, high performance devices (Lankhorst et al., 2005 ; Ouyang et al., 2004 ; Vanheusden et al., 1997). Therefore, a type of non-volatile memory using nanoparticles (NP) as floating gates has attracted much research attention because of its excellent memory performance and high scalability (Tiwari et al., 1996; Park et al., 2002). By utilizing discrete NP as the charge storage element, NP memory is more immune to local oxide defects than flash memory, thus exhibiting longer retention time and allowing more aggressive tunnel oxide scaling than conventional flash memory (Blauwe, 2002; Hanafi et al., 1996). In NP memory, the device performance and reliability depend on many factors, such as the ability to control NP size, size distribution, crystallinity, area density, oxide passivation quality, and the isolation that prevents lateral charge conduction in the NP layer (Ostraat et al., 2001). Thus, NP memory has driven extensive efforts to form NP acting as charging and discharging islands by various methods. Up to now, several techniques have been developed to form uniform NP in gate oxides. For example, Kim (Kim et al., 1999) employed low pressure chemical vapour deposition (LPCVD) to fabricate Si NP with a 4.5 nm average size and 5×1011cm-2 average density. King (King et al., 1998) fabricated Ge NPs by oxidation of a SiGe layer formed by ion implantation, and demonstrated quasi-nonvolatile memory operation with a 0.4 V threshold-voltage shift. Takata (Takata et al., 2003) applied a sputtering method with a special target to fabricate metal nano dots embedded in SiO. Various NP memory devices have been made to realize the fast and low-power operation of such devices, mostly using Si NP devices surrounded by SiO (Gonzalez-Varona et al., 2003). The programming efficiency has been improved with program voltages reduced far below 10 V, owing to the scaling of tunneling SiO2. Among the advantages related with the NP approach to FLASH technologies, worth to emphasize that owing to the discrete nature of the storage nodes, NP memories are expected to behave much better than standard FG devices in radiation environments. This chapter focuses on this particular issue of the radiation hardness of FLASH, and in particular, NP memory technologies. After a review of the main sources of radiation in space and on earth, we will present a detailed review of the effects of radiation on CMOS electronic devices and discuss the state of the art of radiation effects on standard FG FLASH memories

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