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pro vyhledávání: '"Jenkins, Alex"'
Magnetic tunnel junctions are nanoscale devices which have recently attracted interested in the context of frequency multiplexed spintronic neural networks, due to their interesting dynamical properties, which are defined during the fabrication proce
Externí odkaz:
http://arxiv.org/abs/2402.09114
Autor:
Phan, Nhat-Tan, Prasad, Nitin, Hakam, Abderrazak, Valli, Ahmed Sidi El, Anghel, Lorena, Benetti, Luana, Madhavan, Advait, Jenkins, Alex S., Ferreira, Ricardo, Stiles, Mark D., Ebels, Ursula, Talatchian, Philippe
Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in hardware. Leveraging nanoscale thermal magnetization fluctuations provides an efficient and a
Externí odkaz:
http://arxiv.org/abs/2311.11982
Autor:
Jenkins, Alex. S., Martins, Leandro, Benetti, Luana, Schulman, Alejandro, Anacleto, Pedro, Claro, Marcel, Paz, Elvira, Çaha, Ihsan, Deepak, Francis Leonard, Ferreira, Ricardo
Pinning at local defects is a significant road block for the successful implementation of technological paradigms which rely on the dynamic properties of non-trivial magnetic textures. In this report a comprehensive study of the influence of local pi
Externí odkaz:
http://arxiv.org/abs/2304.08228
Autor:
Chopin, Chloé, Martins, Leandro, Benetti, Luana, de Wergifosse, Simon, Jenkins, Alex, Ferreira, Ricardo, Araujo, Flavio Abreu
The spin-diode effect is studied both experimentally and with our original semi-analytical method. The latter is based on an improved version of the Thiele equation approach (TEA) that we combine to micromagnetic simulation data to accurately model t
Externí odkaz:
http://arxiv.org/abs/2301.11980
Autor:
Ross, Andrew, Leroux, Nathan, de Riz, Arnaud, Marković, Danijela, Sanz-Hernández, Dédalo, Trastoy, Juan, Bortolotti, Paolo, Querlioz, Damien, Martins, Leandro, Benetti, Luana, Claro, Marcel S., Anacleto, Pedro, Schulman, Alejandro, Taris, Thierry, Begueret, Jean-Baptiste, Saïghi, Sylvain, Jenkins, Alex S., Ferreira, Ricardo, Vincent, Adrien F., Mizrahi, Alice, Grollier, Julie
Spintronic nano-synapses and nano-neurons perform complex cognitive computations with high accuracy thanks to their rich, reproducible and controllable magnetization dynamics. These dynamical nanodevices could transform artificial intelligence hardwa
Externí odkaz:
http://arxiv.org/abs/2211.03659
Autor:
Leroux, Nathan, Marković, Danijela, Sanz-Hernández, Dédalo, Trastoy, Juan, Bortolotti, Paolo, Schulman, Alejandro, Benetti, Luana, Jenkins, Alex, Ferreira, Ricardo, Grollier, Julie, Mizrahi, Alice
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to health. These RF inputs are composed of multiples frequencies. Here we show
Externí odkaz:
http://arxiv.org/abs/2211.01131
Autor:
Leroux, Nathan, Mizrahi, Alice, Markovic, Danijela, Sanz-Hernandez, Dedalo, Trastoy, Juan, Bortolotti, Paolo, Martins, Leandro, Jenkins, Alex, Ferreira, Ricardo, Grollier, Julie
Artificial neural networks are a valuable tool for radio-frequency (RF) signal classification in many applications, but digitization of analog signals and the use of general purpose hardware non-optimized for training make the process slow and energe
Externí odkaz:
http://arxiv.org/abs/2103.11993
Autor:
Marković, Danijela, Leroux, Nathan, Mizrahi, Alice, Trastoy, Juan, Cros, Vincent, Bortolotti, Paolo, Martins, Leandro, Jenkins, Alex, Ferreira, Ricardo, Grollier, Julie
Publikováno v:
Phys. Rev. Applied 13, 044050 (2020)
Magnetic tunnel junctions are nanoscale spintronic devices with microwave generation and detection capabilities. Here we use the rectification effect called "spin-diode" in a magnetic tunnel junction to wirelessly detect the microwave emission of ano
Externí odkaz:
http://arxiv.org/abs/2001.00502
Akademický článek
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Autor:
Jenkins, Alex S., Alvarez, Lara. San Emeterio, Dutra, Roberta, Sommer, Rubem L., Freitas, Paulo P., Ferreira, Ricardo
As the Internet of Things (IoT) becomes more integral to how we live our lives and society becomes ever increasingly connected, the need for efficient nanoscale radio frequency detection is becoming more of a pressing issue. The commonly used techniq
Externí odkaz:
http://arxiv.org/abs/1806.06002