Randall D. Kamien and Daniel Ucko
Phys. Rev. Applied 21, 050001 (2024) - Published 21 May, 2024
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.
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.
Erick Romero, Nicolas P. Mauranyapin, Timothy M.F. Hirsch, Rachpon Kalra, Christopher G. Baker, Glen I. Harris, and Warwick P. Bowen
Phys. Rev. Applied 21, 054029 (2024) - Published 15 May, 2024
Nanomechanical computers promise robust, low-energy information processing, but generally require electronics to handle bits with different oscillation frequencies, limiting scalability. The authors present an acoustically driven logic gate with a single frequency of operation, with the logic states defined by a nonlinear mechanical resonator, allowing purely mechanical information transfer. Since inputs and output all share the same frequency, they are compatible with cascaded chains of gates. This architecture is CMOS-compatible, and with miniaturization could permit energy efficiency approaching the fundamental Landauer limit.
Lukas Antoniuk, Niklas Lettner, Anna P. Ovvyan, Simon Haugg, Marco Klotz, Helge Gehring, Daniel Wendland, Viatcheslav N. Agafonov, Wolfram H.P. Pernice, and Alexander Kubanek
Phys. Rev. Applied 21, 054032 (2024) - Published 16 May, 2024
Using cavity quantum electrodynamics to enhance light-matter interaction has been pursued with increasing efforts to develop miniaturized, stable, and fully integrated systems for quantum networks or secure communication. Hybrid systems combining photonic platforms and quantum systems are a valid option, but accessing individual spin states remains challenging. This work explores the combination of silicon nitride photonics and negatively charged silicon-vacancy centers in nanodiamonds as a spin-photon interface and elaborates on the hybrid system’s performance. The results can be used to benchmark and outline future spin-based quantum photonic devices.
Constant Bourdeloux, Mathias Fink, and Fabrice Lemoult
Phys. Rev. Applied 21, 054039 (2024) - Published 21 May, 2024
The cocktail party effect refers to the brain’s ability to focus on a single auditory stimulus amidst the cacophony of background noise. This selective attention also resonates in electromagnetic telecommunication, where the surge in wireless communication exacerbates signal interference. To address that issue, researchers have developed reconfigurable intelligent surfaces, mirrors that dynamically shape their reflectivity to enhance wireless performance. Drawing inspiration from these advancements, the authors propose to extend this concept to the acoustic domain, where similar issues of signal clarity and interference persist, but over a much wider frequency range.
Chetan Sriram Madasu, Ketan Damji Rathod, Chang Chi Kwong, and David Wilkowski
Phys. Rev. Applied 21, L051001 (2024) - Published 8 May, 2024
Ramsey interferometry is an important technique in precision spectroscopy and quantum coherence measurement. The authors explore an innovative scheme in which splitter pulses are implemented by geometrical means, eliminating the temporal dependence of the atom-light interaction. This translates to an interferometer that is insensitive to the mean velocity of the atomic ensemble, making it suitable for applications in quantum computing and simulation, as well as atomtronic circuits. Using this geometric Ramsey interferometer, the team measures the phase accumulation during the free-evolution time due to a geometric scalar term.
Dylan A. Kovacevich, Karl Grosh, and Bogdan-Ioan Popa
Phys. Rev. Applied 21, L051002 (2024) - Published 28 May, 2024
Active metamaterials promise advanced wave control beyond what is achievable with passive structures. Practical bulk devices have yet to be realized, though, for lack of a method to assess the stability of interacting cells. The authors address this obstacle by developing a general stability analysis that requires only the frequency response of an isolated unit cell to determine the stability of metamaterials of many such cells arranged in arbitrary geometries. This analysis is used to accurately predict the stability bounds of an experimental active acoustic metamaterial, and to reveal key constraints that must be respected when designing e.g. waveguides, cloaks, or noise absorbers.
Antarjami Sahoo, Aritra Mukhopadhyaya, Swayang Priya Mahanta, Md. Ehesan Ali, and Subhankar Bedanta
Phys. Rev. Applied 21, 054001 (2024) - Published 1 May, 2024
Kemal Selcuk, Shun Kanai, Rikuto Ota, Hideo Ohno, Shunsuke Fukami, and Kerem Y. Camsari
Phys. Rev. Applied 21, 054002 (2024) - Published 1 May, 2024
Zhen Huang, Francisco Cervera, Jiu Hui Wu, Martin Ibarias, Chongrui Liu, Victor M. García-Chocano, Fuyin Ma, and José Sánchez-Dehesa
Phys. Rev. Applied 21, 054003 (2024) - Published 2 May, 2024
Qi-Long Gong, Yi-Xue Wang, Lin Zhu, Qi Liu, and Cheng-Gang Shao
Phys. Rev. Applied 21, 054004 (2024) - Published 2 May, 2024
Jeongeun Park, Seoyoung Paik, Seung-Jae Hwang, Di Liu, Öney O. Soykal, Joerg Wrachtrup, and Sang-Yun Lee
Phys. Rev. Applied 21, 054005 (2024) - Published 2 May, 2024
Zhibin Zhang, Pengfei Zhao, Junke Liao, Mengwei Dai, Jianyang Zhou, Wen Xiao, and Huanyang Chen
Phys. Rev. Applied 21, 054006 (2024) - Published 2 May, 2024
Radha N Somaiya, Aftab Alam, Zicong Marvin Wong, Teck Leong Tan, and Brahmananda Chakraborty
Phys. Rev. Applied 21, 054007 (2024) - Published 3 May, 2024
Tatsuya Yamamoto, Tomohiro Ichinose, Takayuki Nozaki, Shingo Tamaru, Kay Yakushiji, Hitoshi Kubota, and Shinji Yuasa
Phys. Rev. Applied 21, 054008 (2024) - Published 3 May, 2024
Yuchen Zhang, Sanbing Li, Yuejian Jiao, Xiaojie Wang, Feng Gao, Fang Bo, Jingjun Xu, and Guoquan Zhang
Phys. Rev. Applied 21, 054009 (2024) - Published 3 May, 2024
Guéric Etesse, Chloé Salhani, Xiangyu Zhu, Nicolas Cavassilas, Kazuhiko Hirakawa, and Marc Bescond
Phys. Rev. Applied 21, 054010 (2024) - Published 6 May, 2024
Zhijie Li, Xiangyu Ye, Xi Kong, Tianyu Xie, Zhiping Yang, Pengju Zhao, Ya Wang, Fazhan Shi, and Jiangfeng Du
Phys. Rev. Applied 21, 054011 (2024) - Published 6 May, 2024
Keita Ito, Takahide Kubota, and Koki Takanashi
Phys. Rev. Applied 21, 054012 (2024) - Published 6 May, 2024
Chao Liu, Banxian Ruan, Weipeng Hu, Wei Lin, Xiaoyu Dai, Jien Wu, Leyong Jiang, and Yuanjiang Xiang
Phys. Rev. Applied 21, 054013 (2024) - Published 6 May, 2024
Gaurav Saxena, Ahmed Shalabi, and Thi Ha Kyaw
Phys. Rev. Applied 21, 054014 (2024) - Published 7 May, 2024
Zhen Huang, Penglin Gao, Federico N. Ramírez, Jorge García-Tíscar, Alberto Broatch, Jiu Hui Wu, Fuyin Ma, and José Sánchez-Dehesa
Phys. Rev. Applied 21, 054015 (2024) - Published 7 May, 2024
Shiying Guo, Ying Wang, Hengze Qu, Wenhan Zhou, Yee Sin Ang, Shengli Zhang, and Haibo Zeng
Phys. Rev. Applied 21, 054016 (2024) - Published 7 May, 2024
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.
A. Al Luhaibi, A. Glatz, and J. B. Ketterson
Phys. Rev. Applied 21, 054018 (2024) - Published 8 May, 2024
Fanhao Jia, Zhao Tang, Greis J. Cruz, Weiwei Gao, Shaowen Xu, Wei Ren, and Peihong Zhang
Phys. Rev. Applied 21, 054019 (2024) - Published 8 May, 2024
Nicolas Couture, Markus Lippl, Wei Cui, Angela Gamouras, Nicolas Y. Joly, and Jean-Michel Ménard
Phys. Rev. Applied 21, 054020 (2024) - Published 9 May, 2024
Pedro M. Resende, Florian Le Goupil, Guillaume Fleury, and Georges Hadziioannou
Phys. Rev. Applied 21, 054021 (2024) - Published 9 May, 2024
Yanghao Fang, William Tuxbury, Abhishek Gupta, Tsampikos Kottos, and Ramathasan Thevamaran
Phys. Rev. Applied 21, 054022 (2024) - Published 9 May, 2024
Pu Xia, Jinjie Shi, Hongchen Chu, Xiaoxi Zhou, Xiaozhou Liu, and Yun Lai
Phys. Rev. Applied 21, 054023 (2024) - Published 10 May, 2024
Peijie Jiao, Zhiyu Liu, Hongying Chen, Mingkai Qing, Yurong Yang, Yu Deng, and Di Wu
Phys. Rev. Applied 21, 054024 (2024) - Published 10 May, 2024
P. Athira, Ajay Tiwari, M.-J. Hsieh, J.-Y. Lin, Nidhi Puri, C.W. Wang, C. H. Prashanth, C. Dhanasekhar, C.L. Huang, H.D. Yang, Krishnamurthy Jyothinagaram, and D. Chandrasekhar Kakarla
Phys. Rev. Applied 21, 054025 (2024) - Published 13 May, 2024
Haoran Wei, Xin Jin, Xiaoliang Xiao, Li Shi, Yuanhao Duan, Jing Fan, Rui Wang, and Xiaozhi Wu
Phys. Rev. Applied 21, 054026 (2024) - Published 13 May, 2024
X. Wang, I. Krois, N. Ha-Van, M.S. Mirmoosa, P. Jayathurathnage, S. Hrabar, and S.A. Tretyakov
Phys. Rev. Applied 21, 054027 (2024) - Published 14 May, 2024
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.
Erick Romero, Nicolas P. Mauranyapin, Timothy M.F. Hirsch, Rachpon Kalra, Christopher G. Baker, Glen I. Harris, and Warwick P. Bowen
Phys. Rev. Applied 21, 054029 (2024) - Published 15 May, 2024
Nanomechanical computers promise robust, low-energy information processing, but generally require electronics to handle bits with different oscillation frequencies, limiting scalability. The authors present an acoustically driven logic gate with a single frequency of operation, with the logic states defined by a nonlinear mechanical resonator, allowing purely mechanical information transfer. Since inputs and output all share the same frequency, they are compatible with cascaded chains of gates. This architecture is CMOS-compatible, and with miniaturization could permit energy efficiency approaching the fundamental Landauer limit.
Artem Bercha, Konrad Sakowski, Grzegorz Muziol, Mateusz Hajdel, and Witold Trzeciakowski
Phys. Rev. Applied 21, 054030 (2024) - Published 15 May, 2024
Hakjune Lee and Do-Hoon Kwon
Phys. Rev. Applied 21, 054031 (2024) - Published 16 May, 2024
Lukas Antoniuk, Niklas Lettner, Anna P. Ovvyan, Simon Haugg, Marco Klotz, Helge Gehring, Daniel Wendland, Viatcheslav N. Agafonov, Wolfram H.P. Pernice, and Alexander Kubanek
Phys. Rev. Applied 21, 054032 (2024) - Published 16 May, 2024
Using cavity quantum electrodynamics to enhance light-matter interaction has been pursued with increasing efforts to develop miniaturized, stable, and fully integrated systems for quantum networks or secure communication. Hybrid systems combining photonic platforms and quantum systems are a valid option, but accessing individual spin states remains challenging. This work explores the combination of silicon nitride photonics and negatively charged silicon-vacancy centers in nanodiamonds as a spin-photon interface and elaborates on the hybrid system’s performance. The results can be used to benchmark and outline future spin-based quantum photonic devices.
D. Turyansky, O. Ovdat, R. Dann, Z. Aqua, R. Kosloff, B. Dayan, and A. Pick
Phys. Rev. Applied 21, 054033 (2024) - Published 17 May, 2024
Hui Huang, Junzheng Hu, Xiaofei Ye, Shiqi Li, Haotian Li, Yao Jiang, Minghui Lu, and Peng Zhan
Phys. Rev. Applied 21, 054034 (2024) - Published 17 May, 2024
Anna N. Morozovska, Eugene A. Eliseev, Olha A. Kovalenko, and Dean R. Evans
Phys. Rev. Applied 21, 054035 (2024) - Published 20 May, 2024
Ke Wang, Kai Ren, Yinlong Hou, Dan Yang, and Gang Zhang
Phys. Rev. Applied 21, 054036 (2024) - Published 20 May, 2024
Jose Ordonez-Miranda, Roman Anufriev, Masahiro Nomura, and Sebastian Volz
Phys. Rev. Applied 21, 054037 (2024) - Published 20 May, 2024
Haixia Wu, Liu Tan, Hui Huang, Xiaofang Lu, Huanpeng Liang, Tao Lin, Bingsuo Zou, Peilong Hong, Yu-Xuan Ren, and Yi Liang
Phys. Rev. Applied 21, 054038 (2024) - Published 20 May, 2024
Constant Bourdeloux, Mathias Fink, and Fabrice Lemoult
Phys. Rev. Applied 21, 054039 (2024) - Published 21 May, 2024
The cocktail party effect refers to the brain’s ability to focus on a single auditory stimulus amidst the cacophony of background noise. This selective attention also resonates in electromagnetic telecommunication, where the surge in wireless communication exacerbates signal interference. To address that issue, researchers have developed reconfigurable intelligent surfaces, mirrors that dynamically shape their reflectivity to enhance wireless performance. Drawing inspiration from these advancements, the authors propose to extend this concept to the acoustic domain, where similar issues of signal clarity and interference persist, but over a much wider frequency range.
Leonardo Rodrigues Cadorim, Edson Sardella, and Clécio C. de Souza Silva
Phys. Rev. Applied 21, 054040 (2024) - Published 21 May, 2024
Jingyan He, Yu Tian, Zhiyi Hu, Runchuan Ye, Xiangyu Wang, Dawei Lu, and Nanyang Xu
Phys. Rev. Applied 21, 054041 (2024) - Published 21 May, 2024
S. M. Patomäki, J. Williams, F. Berritta, C. Lainé, M. A. Fogarty, R. C. C. Leon, J. Jussot, S. Kubicek, A. Chatterjee, B. Govoreanu, F. Kuemmeth, J. J. L. Morton, and M. F. Gonzalez-Zalba
Phys. Rev. Applied 21, 054042 (2024) - Published 22 May, 2024
M. G. C. Alasio, M. Zhu, M. Matsubara, M. Goano, and E. Bellotti
Phys. Rev. Applied 21, 054043 (2024) - Published 22 May, 2024
S. Mittal, K. Adachi, N.E. Frattini, M.D. Urmey, S-X. Lin, A.L. Emser, C. Metzger, L.G. Talamo, S. Dickson, D. Carlson, S.B. Papp, C.A. Regal, and K.W. Lehnert
Phys. Rev. Applied 21, 054044 (2024) - Published 22 May, 2024
Xiaojuan Yuan, Zhenhua Zhang, Rongxin Li, Qifeng Li, Hengguo Lai, Yanrong Song, Yong Liu, Zihan Xu, Zhihong Lu, Rui Xiong, and Wenbing Zhang
Phys. Rev. Applied 21, 054045 (2024) - Published 22 May, 2024
D.V. Brazhnikov, S.M. Ignatovich, and M.N. Skvortsov
Phys. Rev. Applied 21, 054046 (2024) - Published 23 May, 2024
Julia M. Brevoord, Lorenzo De Santis, Takashi Yamamoto, Matteo Pasini, Nina Codreanu, Tim Turan, Hans K.C. Beukers, Christopher Waas, and Ronald Hanson
Phys. Rev. Applied 21, 054047 (2024) - Published 23 May, 2024
Lingzhi Zheng, Chengzhi Qin, Xue-Feng Zhu, Shuyue Chen, Lange Zhao, Zhuoxiong Liu, Weiwei Liu, Bing Wang, and Peixiang Lu
Phys. Rev. Applied 21, 054048 (2024) - Published 23 May, 2024
Kazuki Koshino and Kunihiro Inomata
Phys. Rev. Applied 21, 054049 (2024) - Published 23 May, 2024
Yaqi Rong, Chengxin Jiang, Huishan Wang, Lu Sun, Fengyu Liu, Juanjuan Lu, Tao Wu, Yu Zhang, Yunshan Zhao, Fusheng Ma, Zhiqiang Mu, Haomin Wang, and Yumeng Yang
Phys. Rev. Applied 21, 054050 (2024) - Published 24 May, 2024
Muhammad Rizwan Akram and Abbas Semnani
Phys. Rev. Applied 21, 054051 (2024) - Published 24 May, 2024
Kui Wu, Sebastian Kindel, Thomas Descamps, Tobias Hangleiter, Jan Christoph Müller, Rebecca Rodrigo, Florian Merget, Beata E. Kardynal, Hendrik Bluhm, and Jeremy Witzens
Phys. Rev. Applied 21, 054052 (2024) - Published 24 May, 2024
Juncai Chen, Xiaozheng Fan, Jiajun Li, Chunlan Ma, Shijing Gong, Tianxing Wang, Xiao Dong, Guoliang Xu, and Yipeng An
Phys. Rev. Applied 21, 054053 (2024) - Published 24 May, 2024
William Rogers, Christian Johnson-Richards, Alex Yakovlev, and Victor Pacheco-Peña
Phys. Rev. Applied 21, 054054 (2024) - Published 28 May, 2024
Junjie Shao, Ren Wang, Yu Wang, and Bing-Zhong Wang
Phys. Rev. Applied 21, 054055 (2024) - Published 28 May, 2024
Li Xu, Xiao-yu Zhang, Ming Li, and Shu-qian Shen
Phys. Rev. Applied 21, 054056 (2024) - Published 28 May, 2024
Pei-Hao Fu, Yong Xu, Shengyuan A. Yang, Ching Hua Lee, Yee Sin Ang, and Jun-Feng Liu
Phys. Rev. Applied 21, 054057 (2024) - Published 29 May, 2024
Nianqin Li, Bo Ji, Yang Shen, and Guangqiang He
Phys. Rev. Applied 21, 054058 (2024) - Published 29 May, 2024
Md. Mohsinur Rahman Adnan, Darpan Verma, Chris Sturm, Mathias Schubert, and Roberto C. Myers
Phys. Rev. Applied 21, 054059 (2024) - Published 29 May, 2024
Yongming Li, Xikui Ma, Xuchen Wang, and Sergei Tretyakov
Phys. Rev. Applied 21, 054060 (2024) - Published 29 May, 2024
Yi Zhuang, Chandrashekhar Gaikwad, Daria Kowsari, Kater Murch, and Aravind Nagulu
Phys. Rev. Applied 21, 054061 (2024) - Published 30 May, 2024
Zhanhai Li, Jianing Han, Shengguo Cao, Zhenhua Zhang, and Xiaoqing Deng
Phys. Rev. Applied 21, 054062 (2024) - Published 30 May, 2024
Mark Field, Angela Q. Chen, Ben Scharmann, Eyob A. Sete, Feyza Oruc, Kim Vu, Valentin Kosenko, Joshua Y. Mutus, Stefano Poletto, and Andrew Bestwick
Phys. Rev. Applied 21, 054063 (2024) - Published 30 May, 2024
Martin Stiehl, Stephan Wust, Nataliia Schmidt, Tobias Dannegger, Johannes Seyd, Marco Berritta, Peter M. Oppeneer, Manfred Albrecht, Ulrich Nowak, and Martin Aeschlimann
Phys. Rev. Applied 21, 054064 (2024) - Published 30 May, 2024
Sheng Liu, Lu Fan, Zhengyu Li, Qiang Zhou, Yunbo Li, Dong Wang, Dechao Zhang, Yichen Zhang, and Han Li
Phys. Rev. Applied 21, 054065 (2024) - Published 31 May, 2024
Jiping Zhao, Yizhuo Li, Jie Zhu, Jingyi An, Xiangdong Ding, and Youlong Xu
Phys. Rev. Applied 21, 054066 (2024) - Published 31 May, 2024
Robert N. Wolf, Joseph H. Pham, Julian Y. Z. Jee, Alexander Rischka, and Michael J. Biercuk
Phys. Rev. Applied 21, 054067 (2024) - Published 31 May, 2024
Z.Y. Ma, K. Deng, Z.Y. Wang, W.Z. Wei, P. Hao, H.X. Zhang, L.R. Pang, B. Wang, F.F. Wu, H.L. Liu, W.H. Yuan, J.L. Chang, J.X. Zhang, Q.Y. Wu, J. Zhang, and Z.H. Lu
Phys. Rev. Applied 21, 059901 (2024) - Published 17 May, 2024
B. Sanchez-Padilla and E. Brasselet
Phys. Rev. Applied 21, 059902 (2024) - Published 17 May, 2024