Tunable stochastic memristors for energy-efficient encryption and computing
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DOI: 10.1038/s41467-024-47488-x
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- Kyung Seok Woo & Jaehyun Kim & Janguk Han & Woohyun Kim & Yoon Ho Jang & Cheol Seong Hwang, 2022. "Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
- Gwangmin Kim & Jae Hyun In & Young Seok Kim & Hakseung Rhee & Woojoon Park & Hanchan Song & Juseong Park & Kyung Min Kim, 2021. "Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
- Julien Borghetti & Gregory S. Snider & Philip J. Kuekes & J. Joshua Yang & Duncan R. Stewart & R. Stanley Williams, 2010. "‘Memristive’ switches enable ‘stateful’ logic operations via material implication," Nature, Nature, vol. 464(7290), pages 873-876, April.
- Jung Ho Yoon & Zhongrui Wang & Kyung Min Kim & Huaqiang Wu & Vignesh Ravichandran & Qiangfei Xia & Cheol Seong Hwang & J. Joshua Yang, 2018. "An artificial nociceptor based on a diffusive memristor," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
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