Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Debashis, Punyashloka"'
Autor:
Arango, Isabel C., Choi, Won Young, Pham, Van Tuong, Groen, Inge, Vaz, Diogo C., Debashis, Punyashloka, Li, Hai, DC, Mahendra, Oguz, Kaan, Chuvilin, Andrey, Hueso, Luis E., Young, Ian A., Casanova, Fèlix
Publikováno v:
Physical Review B 108, 104425 (2023)
The development of spin-orbitronic devices, such as magneto-electric spin-orbit logic devices, calls for materials with a high resistivity and a high spin-charge interconversion efficiency. One of the most promising candidates in this regard is sputt
Externí odkaz:
http://arxiv.org/abs/2311.03598
Autor:
Vaz, Diogo C., Lin, Chia-Ching, Plombon, John J., Choi, Won Young, Groen, Inge, Arango, Isabel C., Chuvilin, Andrey, Hueso, Luis E., Nikonov, Dmitri E., Li, Hai, Debashis, Punyashloka, Clendenning, Scott B., Gosavi, Tanay A., Huang, Yen-Lin, Prasad, Bhagwati, Ramesh, Ramamoorthy, Vecchiola, Aymeric, Bibes, Manuel, Bouzehouane, Karim, Fusil, Stephane, Garcia, Vincent, Young, Ian A., Casanova, Fèlix
Publikováno v:
Nature Communications 15, 1902 (2024)
As CMOS technologies face challenges in dimensional and voltage scaling, the demand for novel logic devices has never been greater, with spin-based devices offering scaling potential, at the cost of significantly high switching energies. Alternativel
Externí odkaz:
http://arxiv.org/abs/2302.12162
Autor:
Choi, Won Young, Arango, Isabel C., Pham, Van Tuong, Vaz, Diogo C., Yang, Haozhe, Groen, Inge, Lin, Chia-Ching, Kabir, Emily S., Oguz, Kaan, Debashis, Punyashloka, Plombon, John J., Li, Hai, Nikonov, Dmitri E., Chuvilin, Andrey, Hueso, Luis E., Young, Ian A., Casanova, Fèlix
Publikováno v:
Nano Lett. 22, 7992-7999 (2022)
One of the major obstacles to realizing spintronic devices such as MESO logic devices is the small signal magnitude used for magnetization readout, making it important to find materials with high spin-to-charge conversion efficiency. Although intermi
Externí odkaz:
http://arxiv.org/abs/2210.09792
Generating high-quality random numbers with a Gaussian probability distribution function is an important and resource consuming computational task for many applications in the fields of machine learning and Monte Carlo algorithms. Recently, CMOS-base
Externí odkaz:
http://arxiv.org/abs/2112.04577
Stochastic oscillators based on emerging nanodevices are attractive because of their ultra-low power requirement and ability to exhibit stochastic resonance, a phenomenon where synchronization to weak input signals is enabled due to ambient noise. In
Externí odkaz:
http://arxiv.org/abs/2012.00978
Autor:
Solanki, Abhishek Bharatbhai, Bogdanov, Simeon I., Rustagi, Avinash, Dilley, Neil R., Shen, Tingting, Rahman, Mohammad Mushfiqur, Tong, Wenqi, Debashis, Punyashloka, Chen, Zhihong, Appenzeller, Joerg, Chen, Yong P., Shalaev, Vladimir M., Upadhyaya, Pramey
Hybrid systems coupling quantum spin defects (QSD) and magnons can enable unique spintronic device functionalities and probes for magnetism. Here, we add electric field control of magnon-QSD coupling to such systems by integrating ferromagnet-ferroel
Externí odkaz:
http://arxiv.org/abs/2012.01497
Autor:
Debashis, Punyashloka, Ostwal, Vaibhav, Faria, Rafatul, Datta, Supriyo, Appenzeller, Joerg, Chen, Zhihong
Bayesian networks are powerful statistical models to understand causal relationships in real-world probabilistic problems such as diagnosis, forecasting, computer vision, etc. For systems that involve complex causal dependencies among many variables,
Externí odkaz:
http://arxiv.org/abs/2005.08418
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Energy-efficient methods are addressed for leveraging low energy barrier nanomagnetic devices within neuromorphic architectures. Using a Magnetoresistive Random Access Memory (MRAM) probabilistic device (p-bit) as the basis of neuronal structures in
Externí odkaz:
http://arxiv.org/abs/2005.00923
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Phys. Rev. B 101, 094405 (2020)
Low barrier nanomagnets have attracted a lot of research interest for their use as sources of high quality true random number generation. More recently, low barrier nanomagnets with tunable output have been shown to be a natural hardware platform for
Externí odkaz:
http://arxiv.org/abs/1910.03184