Tunable memory characteristics of nanostructured, nonvolatile charge trap memory devices based on a binary mixture of metal nanoparticles as a charge trapping layer

Jang Sik Lee, Yong Mu Kim, Jeong Hwa Kwon, Hyunjung Shin, Byeong Hyeok Sohn, Jaegab Lee

Research output: Contribution to journalArticlepeer-review

102 Scopus citations

Abstract

The use of a controlled binary mixture of metal nanoparticles was reported for the purpose of tuning the memory characteristics in charge-trap flash memory devices with a comparative and systematic study of the charging/discharging behaviors. All samples were prepared on p-type Si substrates, which were cleaned using an aqueous mixture of H2SO4/H2O 2, followed by etching with buffered hydrofluoric acid and rinsing with deionized water. HfO2 tunneling oxide was deposited on the Si substrates using reactive radiofrequency magnetron sputtering, where pure Hf was used as a target. Polystyrene-block-poly(4-vinylpyridine), PS-b-P4VP were added to toluene, a strongly selective solvent for the PS block, and stirred for 2 hours at room temperature, and then cooled down to room temperature. Five clearly distinguishable multiple data levels were obtained under the same programming/erasing bias conditions.

Original languageEnglish
Pages (from-to)178-183
Number of pages6
JournalAdvanced Materials
Volume21
Issue number2
DOIs
StatePublished - 12 Jan 2009
Externally publishedYes

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