William A. Borders, Advait Madhavan, Matthew W. Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany S. Santos, Patrick M. Braganca, Mark D. Stiles, Jabez J. McClelland, and Brian D. Hoskins
Phys. Rev. Applied 21, 054028 (2024) – Published 14 May 2024
Defective devices can severely impact the performance of hardware-based neural networks, in particular resistive crossbar arrays. This study introduces a network training approach that reduces the influence of defective devices, maintaining inference accuracy. The authors demonstrate this approach on a set of dies each containing a crossbar array consisting of 20,000 magnetic tunnel junction devices. They also develop a generalized approach using the statistics of defects and demonstrate similar performance on all dies. These results translate to a manufacturing setting where millions of dies with possible defects are produced, but the performance of even subpar chips can be guaranteed.
Jonathan Backman, Youseung Lee, and Mathieu Luisier
Phys. Rev. Applied 21, 054017 (2024) – Published 8 May 2024
Transition-metal dichalcogenides (TMDCs) are promising building blocks for future electronic circuits, but their performance is often hindered by poorly understood electron-phonon interactions. This study leverages a fresh ab initio approach, combining density-functional theory with the linearized Boltzmann transport equation (LBTE) and nonequilibrium Green’s functions (NEGF), to explore phonon-limited transport in TMDCs. The authors find that LBTE and NEGF return very similar mobility values despite the different approximations upon which they rely, thus paving the way for comprehensive device simulations that include electron-phonon scattering.
Fan Zhang, Asmaul Smitha Rashid, Mostafa Tanhayi Ahari, George J. de Coster, Takashi Taniguchi, Kenji Watanabe, Matthew J. Gilbert, Nitin Samarth, and Morteza Kayyalha
Phys. Rev. Applied 21, 034011 (2024) – Published 8 March 2024
Shunsuke Ota, Junliang Wang, Hermann Edlbauer, Yuma Okazaki, Shuji Nakamura, Takehiko Oe, Arne Ludwig, Andreas D. Wieck, Hermann Sellier, Christopher Bäuerle, Nobu-Hisa Kaneko, Tetsuo Kodera, and Shintaro Takada
Phys. Rev. Applied 21, 024034 (2024) – Published 16 February 2024
Manuel Zahn, Elke Beyreuther, Iuliia Kiseleva, Ahmed Samir Lotfy, Conor J. McCluskey, Jesi R. Maguire, Ahmet Suna, Michael Rüsing, J. Marty Gregg, and Lukas M. Eng
Phys. Rev. Applied 21, 024007 (2024) – Published 5 February 2024
