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pro vyhledávání: '"Piramanayagam S"'
Autor:
Sekh, Badsha, Kumar, Durgesh, Rahaman, Hasibur, Maddu, Ramu, Chan, Jianpeng, Mah, Wai Lum William, Piramanayagam, S. N.
Neuromorphic computing (NC) is a promising candidate for artificial intelligence applications. To realize NC, electronic analogues of brain components, such as synapses and neurons, must be designed. In spintronics, domain wall (DW) based magnetic tu
Externí odkaz:
http://arxiv.org/abs/2408.08525
Autor:
Li, Shengyao, Bhatti, Sabpreet, Teo, Siew Lang, Lin, Ming, Pan, Xinyue, Yang, Zherui, Song, Peng, Tian, Wanghao, He, Xinyu, Chai, Jianwei, Loh, Xian Jun, Zhu, Qiang, Piramanayagam, S. N., Wang, Xiao Renshaw
In alignment with the increasing demand for larger storage capacity and longer data retention, electrical control of magnetic anisotropy has been a research focus in the realm of spintronics. Typically, magnetic anisotropy is determined by grain dime
Externí odkaz:
http://arxiv.org/abs/2405.18256
Autor:
Toh, Alexander Kang-Jun, Lim, McCoy W., Suraj, T. S., Chen, Xiaoye, Tan, Hang Khume, Lim, Royston, Cheng, Xuan Min, Lim, Nelson, Yap, Sherry, Kumar, Durgesh, Piramanayagam, S. N., Ho, Pin, Soumyanarayanan, Anjan
Ambient magnetic skyrmions stabilized in multilayer nanostructures are of immense interest due to their relevance to magnetic tunnel junction (MTJ) devices for memory and unconventional computing applications. However, existing skyrmionic nanostructu
Externí odkaz:
http://arxiv.org/abs/2312.05801
Controlling multiple skyrmions in nanowires is important for their implementation in racetrack memory or neuromorphic computing. Here, we report on the dynamical behavior of two interacting skyrmions in confined devices with a comparison to a single
Externí odkaz:
http://arxiv.org/abs/2302.05050
Autor:
Kumar, Durgesh, Maddu, Ramu, Chung, Hong Jing, Rahaman, Hasibur, Jin, Tianli, Bhatti, Sabpreet, Ter Lim, Sze, Sbiaa, Rachid, Piramanayagam, S. N.
Neuromorphic computing (NC) architecture has shown its suitability for energy-efficient computation. Amongst several systems, spin-orbit torque (SOT) based domain wall (DW) devices are one of the most energy-efficient contenders for NC. To realize sp
Externí odkaz:
http://arxiv.org/abs/2212.07833
Autor:
Li, Shengyao, Miao, Bojun, Wang, Xueyan, Teo, Siew Lang, Lin, Ming, Zhu, Qiang, Piramanayagam, S. N., Wang, X. Renshaw
Among various types of neuromorphic devices towards artificial intelligence, the electrochemical synaptic transistor emerges, in which the channel conductance is modulated by the insertion of ions according to the history of gate voltage across the e
Externí odkaz:
http://arxiv.org/abs/2211.08886
Autor:
Hasibur, Rahaman, Kumar, Durgesh, Jing, Chung Hong, Ramu, Maddu, Ter, Lim Sze, Jin, Tianli, Piramanayagam, S. N.
Neuromorphic computing (NC) is considered as a potential vehicle for implementing energy-efficient artificial intelligence (AI). To realize NC, several materials systems are being investigated. Among them, the spin-orbit torque (SOT) -driven domain w
Externí odkaz:
http://arxiv.org/abs/2210.01385
Neuromorphic Computing (NC), which emulates neural activities of the human brain, is considered for low-power implementation of artificial intelligence. Towards realizing NC, fabrication, and investigations of hardware elements such as synaptic devic
Externí odkaz:
http://arxiv.org/abs/2109.09613
Autor:
Kumar, Durgesh, Jing, Chung Hong, JianPeng, Chan, Jin, Tianli, Ter, Lim Sze, Sbiaa, Rachid, Piramanayagam, S. N.
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to achieve low-power intelligent devices. To realize NC, researchers investigate various types of synthetic neurons and synaptic devices such as memristors and spintroni
Externí odkaz:
http://arxiv.org/abs/2007.12357
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