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Cell NAND Flash memory in 43nm CMOS.

C. Trinh, N. Shibata, T. Nakano, M. Ogawa, J. Sato, Y. Takeyama, K. Isobe, B. Le, F. Moogat, N. Mokhlesi, K. Kozakai, P. Hong, T. Kamei, K. Iwasa, J. Nakai, T. Shimizu, M. Honma, S. Sakai, T. Kawaai, S. Hoshi, J. Yuh, C. Hsu, T. Tseng, J. Li, J. Hu, M. Liu, S. Khalid, J. Chen, M. Watanabe, H. Lin, J. Yang, K. McKay, K. Nguyen, T. Pham, Y. Matsuda, K. Nakamura, K. Kanebako, S. Yoshikawa, W. Igarashi, A. Inoue, T. Takahashi, Y. Komatsu, C. Suzuki, K. Kanazawa, M. Higashitani, S. Lee, T. Murai, K. Nguyen, J. Lan, S. Huynh, M. Murin, M. Shlick, M. Lasser, R. Cernea, M. Mofidi, K. Schuegraf, and K. Quader. ISSCC, page 246-247. IEEE, (2009)

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A 151mm2 64Gb MLC NAND flash memory in 24nm CMOS technology.K. Fukuda, Y. Watanabe, E. Makino, K. Kawakami, J. Sato, T. Takagiwa, N. Kanagawa, H. Shiga, N. Tokiwa, Y. Shindo and 32 other author(s). ISSCC, page 198-199. IEEE, (2011)A 151-mm2 64-Gb 2 Bit/Cell NAND Flash Memory in 24-nm CMOS Technology.K. Fukuda, Y. Watanabe, E. Makino, K. Kawakami, J. Sato, T. Takagiwa, N. Kanagawa, H. Shiga, N. Tokiwa, Y. Shindo and 32 other author(s). J. Solid-State Circuits, 47 (1): 75-84 (2012)7.1 A low-power 64Gb MLC NAND-flash memory in 15nm CMOS technology.M. Sako, Y. Watanabe, T. Nakajima, J. Sato, K. Muraoka, M. Fujiu, F. Kouno, M. Nakagawa, M. Masuda, K. Kato and 17 other author(s). ISSCC, page 1-3. IEEE, (2015)Unloading muscle activation enhances force perception.Y. Kurita, J. Sato, T. Tanaka, M. Shinohara, and T. Tsuji. AH, page 4:1-4:4. ACM, (2014)A Low Power 64 Gb MLC NAND-Flash Memory in 15 nm CMOS Technology.M. Sako, Y. Watanabe, T. Nakajima, J. Sato, K. Muraoka, M. Fujiu, F. Kono, M. Nakagawa, M. Masuda, K. Kato and 17 other author(s). J. Solid-State Circuits, 51 (1): 196-203 (2016)A 1.33Tb 4-bit/Cell 3D-Flash Memory on a 96-Word-Line-Layer Technology.N. Shibata, K. Kanda, T. Shimizu, J. Nakai, O. Nagao, N. Kobayashi, M. Miakashi, Y. Nagadomi, T. Nakano, T. Kawabe and 42 other author(s). ISSCC, page 210-212. IEEE, (2019)Investigation of the subjective force perception based on the estimation of the muscle activities during a steering operation.J. Sato, K. Takemura, N. Yamada, A. Kishi, K. Nishikawa, T. Nouzawa, T. Tsuji, and Y. Kurita. SII, page 76-81. IEEE, (2013)A 1.33-Tb 4-Bit/Cell 3-D Flash Memory on a 96-Word-Line-Layer Technology.N. Shibata, T. Kawabe, T. Shibuya, M. Sako, K. Yanagidaira, T. Hashimoto, H. Date, M. Sato, T. Nakagawa, J. Musha and 39 other author(s). J. Solid-State Circuits, 55 (1): 178-188 (2020)Unpowered Sensorimotor-Enhancing Suit Reduces Muscle Activation and Improves Force Perception.Y. Kurita, J. Sato, T. Tanaka, M. Shinohara, and T. Tsuji. IEEE Trans. Hum. Mach. Syst., 47 (6): 1158-1163 (2017)A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.S. Golas, T. Shibahara, S. Agboola, H. Otaki, J. Sato, T. Nakae, T. Hisamitsu, G. Kojima, J. Felsted, S. Kakarmath and 2 other author(s). BMC Med. Inf. & Decision Making, 18 (1): 44:1-44:17 (2018)

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A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS.

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A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS.