Chuan Liu, Zihao Chen, Kairong Huang, Sujuan Hu, Xiaoci Liang, and Jun Chen
Phys. Rev. Applied 13, 054066 (2020) - Published 27 May, 2020
Visual representations of the voltages, currents, and electric potentials of vertical transistors could help engineers design circuits employing these advanced devices.
M. Tsujimoto, S. Fujita, G. Kuwano, K. Maeda, A. Elarabi, J. Hawecker, J. Tignon, J. Mangeney, S.S. Dhillon, and I. Kakeya
Phys. Rev. Applied 13, 051001 (2020) - Published 13 May, 2020
Despite its potential for medical imaging, wireless communication, and ultrasensitive analysis of biological materials, the terahertz frequency range of light cannot be suitably utilized without practical solid-state sources. A naturally formed stack of superconducting junctions emits terahertz radiation, owing to synchronization of macroscopic wave functions, and the authors propose a means to manipulate that synchronization, which is the most promising way to attain a versatile superconducting terahertz source. Their findings also give insight into the quantum physics of entangled photons emitted from superconductors.
J. Darulová, S.J. Pauka, N. Wiebe, K.W. Chan, G.C Gardener, M.J. Manfra, M.C. Cassidy, and M. Troyer
Phys. Rev. Applied 13, 054005 (2020) - Published 4 May, 2020
Automated tuning of gate-defined quantum dots is an essential step toward scaling up quantum computing with semiconductor qubits. The authors demonstrate an algorithm that can tune several devices without prior knowledge of their details. The approach taken here shows that simple machine-learning classifiers trained on experimental data and well-established tuning sequences are sufficient to remove human interaction, paving the way for autonomous initialization of semiconductor qubits.
R. Durrer, B. Kratochwil, J.V. Koski, A.J. Landig, C. Reichl, W. Wegscheider, T. Ihn, and E. Greplova
Phys. Rev. Applied 13, 054019 (2020) - Published 8 May, 2020
Semiconductor quantum dots are at the forefront of quantum device technology. One longstanding obstacle to scalability is that multidot systems require a lengthy, complex, experimental tuning process. Here the authors introduce a machine-learning-driven algorithm for automated tuning of quantum dots. By letting the algorithm learn from experimental data, they develop a procedure that uses a small set of measurements as its input, and then automatically tunes the double-dot system to the desired charge state. This constitutes a significant step toward fully automated operation of multidot quantum systems.
Yue Dai, Yuli Dong, Zhenyu Xu, Wenlong You, Chengjie Zhang, and Otfried Gühne
Phys. Rev. Applied 13, 054022 (2020) - Published 8 May, 2020
Experimentally quantifying entanglement and coherence is extremely important in quantum information processing. In a multipartite quantum system, usually the fidelity of the system’s state compared to a target state is measured to detect its entanglement. The authors present a fidelity-based method to derive experimentally accessible lower bounds for measures of genuine multipartite entanglement and coherence, allowing quick quantification of system states without quantum state tomography in experiments. The method works generally, for several entanglement measures and coherence measures, and examples of real experimental states are analyzed in detail.
Fabian Könemann, I-Ju Chen, Sebastian Lehmann, Claes Thelander, and Bernd Gotsmann
Phys. Rev. Applied 13, 054035 (2020) - Published 15 May, 2020
Interfaces and the microscopic mechanisms of thermoelectric effects are important considerations in the thermal design of nanoelectronics, but progress is stymied by the difficulty of measuring thermal transport at the nanoscale. This study uses scanning thermal microscopy to obtain temperature maps of nanowire devices exhibiting heat pumping by thermionic emission. The lateral resolution is high enough to extract the electron thermalization length from the images and perform a complete thermoelectric characterization of the device. The thermalization length is of the order of the system’s size, which can strongly guide our thinking about these effects in nanodevices.
L. L. Tao, Azad Naeemi, and Evgeny Y. Tsymbal
Phys. Rev. Applied 13, 054043 (2020) - Published 19 May, 2020
In the emerging field of , logic gates are typically based on the valley-pseudospin degree of freedom in materials with particular electronic structures. For certain two-dimensional (2D) materials, the valley-dependent spin polarization is 100% and can be switched by an electric field. The authors design valley-spin logic gates based on certain 2D materials, and demonstrate seven complete logic gates: NOT, XNOR, XOR, AND, NAND, OR, and NOR. Importantly, the proposed valley-spin gates satisfy the concatenation requirement, which is key for practical use: The output of one can be used as the input for the next, and all inputs and outputs are plain voltages.
M. Anderson, T. Müller, J. Skiba-Szymanska, A. B. Krysa, J. Huwer, R. M. Stevenson, J. Heffernan, D. A. Ritchie, and A. J. Shields
Phys. Rev. Applied 13, 054052 (2020) - Published 21 May, 2020
Semiconductor quantum dots are prime candidates for applications in quantum networks, such as quantum relays, but their typical emission wavelength, polarization-based qubit encoding scheme, and low operating frequency are incompatible with existing technologies. This study shows that InAs/InP quantum dots driven with gigahertz-clocked pulses, in combination with qubit-transcoding interferometers, can bridge these gaps. The observed teleportation of time-bin qubits in the telecom band, even when repetition rates exceed the inverse lifetime of the dot, shows the potential for integrating such devices with long-distance quantum network technologies.
M. Tsujimoto, S. Fujita, G. Kuwano, K. Maeda, A. Elarabi, J. Hawecker, J. Tignon, J. Mangeney, S.S. Dhillon, and I. Kakeya
Phys. Rev. Applied 13, 051001 (2020) - Published 13 May, 2020
Despite its potential for medical imaging, wireless communication, and ultrasensitive analysis of biological materials, the terahertz frequency range of light cannot be suitably utilized without practical solid-state sources. A naturally formed stack of superconducting junctions emits terahertz radiation, owing to synchronization of macroscopic wave functions, and the authors propose a means to manipulate that synchronization, which is the most promising way to attain a versatile superconducting terahertz source. Their findings also give insight into the quantum physics of entangled photons emitted from superconductors.
Lukasz J. Zielinski, Shin Utsuzawa, Mason Greer, Yi-Qiao Song, and Martin Hürlimann
Phys. Rev. Applied 13, 051002 (2020) - Published 14 May, 2020
Performing NMR experiments using the Earth’s magnetic field, which would require a robust, low-cost, ultrasensitive induction magnetometer, could enable many remote-sensing applications in geological science. Here implementation of active flux feedback flattens the frequency response of the receiver without compromising the signal-to-noise ratio, permitting detection at frequencies above the self-resonance of the coil. This overcomes the key limitation on the density of windings and thus on intrinsic coil sensitivity. Probe dead times of a few milliseconds at 2 kHz allow the quantification of freely movable fluids in porous rock, which is critical for evaluating subsurface formations.
Bayan Karimi, Danilo Nikolić, Tuomas Tuukkanen, Joonas T. Peltonen, Wolfgang Belzig, and Jukka P. Pekola
Phys. Rev. Applied 13, 054001 (2020) - Published 1 May, 2020
Zihao Li, Yun-Guang Han, and Huangjun Zhu
Phys. Rev. Applied 13, 054002 (2020) - Published 1 May, 2020
Jun Liu, Yurong You, Ivan Batashev, Yuanyuan Gong, Xinmin You, Bowei Huang, Fengqi Zhang, Xuefei Miao, Feng Xu, Niels van Dijk, and Ekkes Brück
Phys. Rev. Applied 13, 054003 (2020) - Published 1 May, 2020
Florian Werner, Boris Veith-Wolf, Conrad Spindler, Michael R. Barget, Finn Babbe, Jerome Guillot, Jan Schmidt, and Susanne Siebentritt
Phys. Rev. Applied 13, 054004 (2020) - Published 4 May, 2020
J. Darulová, S.J. Pauka, N. Wiebe, K.W. Chan, G.C Gardener, M.J. Manfra, M.C. Cassidy, and M. Troyer
Phys. Rev. Applied 13, 054005 (2020) - Published 4 May, 2020
Automated tuning of gate-defined quantum dots is an essential step toward scaling up quantum computing with semiconductor qubits. The authors demonstrate an algorithm that can tune several devices without prior knowledge of their details. The approach taken here shows that simple machine-learning classifiers trained on experimental data and well-established tuning sequences are sufficient to remove human interaction, paving the way for autonomous initialization of semiconductor qubits.
Francesco Vischi, Matteo Carrega, Alessandro Braggio, Federico Paolucci, Federica Bianco, Stefano Roddaro, and Francesco Giazotto
Phys. Rev. Applied 13, 054006 (2020) - Published 4 May, 2020
Lin Xu, Hui Ge, Jensen Li, Runqiu He, Jiaojiao Zhou, Shining Zhu, Hui Liu, and Huanyang Chen
Phys. Rev. Applied 13, 054007 (2020) - Published 4 May, 2020
Shaili Sett, Vishal Kumar Aggarwal, Achintya Singha, and A. K. Raychaudhuri
Phys. Rev. Applied 13, 054008 (2020) - Published 5 May, 2020
T. Hache, M. Vaňatka, L. Flajšman, T. Weinhold, T. Hula, O. Ciubotariu, M. Albrecht, B. Arkook, I. Barsukov, L. Fallarino, O. Hellwig, J. Fassbender, M. Urbánek, and H. Schultheiss
Phys. Rev. Applied 13, 054009 (2020) - Published 5 May, 2020
Hemang Jani and Lingze Duan
Phys. Rev. Applied 13, 054010 (2020) - Published 5 May, 2020
Janusz Dubowik, Piotr Graczyk, Adam Krysztofik, Hubert Głowiński, Emerson Coy, Karol Załęski, and Iwona Gościańska
Phys. Rev. Applied 13, 054011 (2020) - Published 5 May, 2020
Chenkai Liu, Chu Ma, Xinhao Li, Jie Luo, Nicholas X. Fang, and Yun Lai
Phys. Rev. Applied 13, 054012 (2020) - Published 6 May, 2020
Zhen Liao, Jia Nan Zhou, Guo Qing Luo, Meng Wang, Shi Sun, Tao Zhou, Hui Feng Ma, Tie Jun Cui, and Yongmin Liu
Phys. Rev. Applied 13, 054013 (2020) - Published 6 May, 2020
Ye Du, Hiromu Gamou, Saburo Takahashi, Shutaro Karube, Makoto Kohda, and Junsaku Nitta
Phys. Rev. Applied 13, 054014 (2020) - Published 6 May, 2020
Shuro Izumi, Jonas S. Neergaard-Nielsen, Shigehito Miki, Hirotaka Terai, and Ulrik L. Andersen
Phys. Rev. Applied 13, 054015 (2020) - Published 7 May, 2020
Qi Zhang, Yumeng Yang, Ziyan Luo, Yanjun Xu, Rongxiang Nie, Xinhai Zhang, and Yihong Wu
Phys. Rev. Applied 13, 054016 (2020) - Published 7 May, 2020
Péter Udvarhelyi, Gergő Thiering, Naoya Morioka, Charles Babin, Florian Kaiser, Daniil Lukin, Takeshi Ohshima, Jawad Ul-Hassan, Nguyen Tien Son, Jelena Vučković, Jörg Wrachtrup, and Adam Gali
Phys. Rev. Applied 13, 054017 (2020) - Published 7 May, 2020
T.-K. Hsiao, C.J. van Diepen, U. Mukhopadhyay, C. Reichl, W. Wegscheider, and L.M.K. Vandersypen
Phys. Rev. Applied 13, 054018 (2020) - Published 7 May, 2020
R. Durrer, B. Kratochwil, J.V. Koski, A.J. Landig, C. Reichl, W. Wegscheider, T. Ihn, and E. Greplova
Phys. Rev. Applied 13, 054019 (2020) - Published 8 May, 2020
Semiconductor quantum dots are at the forefront of quantum device technology. One longstanding obstacle to scalability is that multidot systems require a lengthy, complex, experimental tuning process. Here the authors introduce a machine-learning-driven algorithm for automated tuning of quantum dots. By letting the algorithm learn from experimental data, they develop a procedure that uses a small set of measurements as its input, and then automatically tunes the double-dot system to the desired charge state. This constitutes a significant step toward fully automated operation of multidot quantum systems.
Ankit Shukla, Arun Parthasarathy, and Shaloo Rakheja
Phys. Rev. Applied 13, 054020 (2020) - Published 8 May, 2020
Maryna Pankratova, Anastasiia Vasylchenkova, Stanislav A. Derevyanko, Nikolai B. Chichkov, and Jaroslaw E. Prilepsky
Phys. Rev. Applied 13, 054021 (2020) - Published 8 May, 2020
Yue Dai, Yuli Dong, Zhenyu Xu, Wenlong You, Chengjie Zhang, and Otfried Gühne
Phys. Rev. Applied 13, 054022 (2020) - Published 8 May, 2020
Experimentally quantifying entanglement and coherence is extremely important in quantum information processing. In a multipartite quantum system, usually the fidelity of the system’s state compared to a target state is measured to detect its entanglement. The authors present a fidelity-based method to derive experimentally accessible lower bounds for measures of genuine multipartite entanglement and coherence, allowing quick quantification of system states without quantum state tomography in experiments. The method works generally, for several entanglement measures and coherence measures, and examples of real experimental states are analyzed in detail.
Konstantin M. Pavlov, Heyang (Thomas) Li, David M. Paganin, Sebastien Berujon, Hélène Rougé-Labriet, and Emmanuel Brun
Phys. Rev. Applied 13, 054023 (2020) - Published 11 May, 2020
T. Wang, X. Ribeyre, Z. Gong, O. Jansen, E. d’Humières, D. Stutman, T. Toncian, and A. Arefiev
Phys. Rev. Applied 13, 054024 (2020) - Published 11 May, 2020
T. Naito, M. Yamada, S. Yamada, K. Sawano, and K. Hamaya
Phys. Rev. Applied 13, 054025 (2020) - Published 11 May, 2020
C. Puglia, G. De Simoni, and F. Giazotto
Phys. Rev. Applied 13, 054026 (2020) - Published 11 May, 2020
Guan-Jie Fan-Yuan, Jun Teng, Shuang Wang, Zhen-Qiang Yin, Wei Chen, De-Yong He, Guang-Can Guo, and Zheng-Fu Han
Phys. Rev. Applied 13, 054027 (2020) - Published 12 May, 2020
Arthur Baroni, Virginie Chamard, and Patrick Ferrand
Phys. Rev. Applied 13, 054028 (2020) - Published 12 May, 2020
Sylvianne Roscam Abbing, Filippo Campi, Faegheh S. Sajjadian, Nan Lin, Peter Smorenburg, and Peter M. Kraus
Phys. Rev. Applied 13, 054029 (2020) - Published 12 May, 2020
Liemao Cao, Guanghui Zhou, Qingyun Wu, Shengyuan A. Yang, Hui Ying Yang, Yee Sin Ang, and L.K. Ang
Phys. Rev. Applied 13, 054030 (2020) - Published 12 May, 2020
Ruiguang Peng, Qian Zhao, Yonggang Meng, Shizhu Wen, and Ji Zhou
Phys. Rev. Applied 13, 054031 (2020) - Published 13 May, 2020
Chenbo Zhao, Yi Li, Zhizhi Zhang, Michael Vogel, John E. Pearson, Jianbo Wang, Wei Zhang, Valentine Novosad, Qingfang Liu, and Axel Hoffmann
Phys. Rev. Applied 13, 054032 (2020) - Published 13 May, 2020
Yongsoo Hwang, Taewan Kim, Chungheon Baek, and Byung-Soo Choi
Phys. Rev. Applied 13, 054033 (2020) - Published 14 May, 2020
Yuan-Yu Jau and Tony Carter
Phys. Rev. Applied 13, 054034 (2020) - Published 14 May, 2020
Fabian Könemann, I-Ju Chen, Sebastian Lehmann, Claes Thelander, and Bernd Gotsmann
Phys. Rev. Applied 13, 054035 (2020) - Published 15 May, 2020
Interfaces and the microscopic mechanisms of thermoelectric effects are important considerations in the thermal design of nanoelectronics, but progress is stymied by the difficulty of measuring thermal transport at the nanoscale. This study uses scanning thermal microscopy to obtain temperature maps of nanowire devices exhibiting heat pumping by thermionic emission. The lateral resolution is high enough to extract the electron thermalization length from the images and perform a complete thermoelectric characterization of the device. The thermalization length is of the order of the system’s size, which can strongly guide our thinking about these effects in nanodevices.
Min Soo Kim, Woorim Lee, Chung Il Park, and Joo Hwan Oh
Phys. Rev. Applied 13, 054036 (2020) - Published 15 May, 2020
Shan Jiang, Chang Chen, Jun Ding, Hualiang Zhang, and Weidong Chen
Phys. Rev. Applied 13, 054037 (2020) - Published 15 May, 2020
Szymon Mieszczak, Oksana Busel, Paweł Gruszecki, Andriy N. Kuchko, Jarosław W. Kłos, and Maciej Krawczyk
Phys. Rev. Applied 13, 054038 (2020) - Published 15 May, 2020
M. S. Gabor, T. Petrisor, Jr, M. Nasui, M. A. Nsibi, J. Nath, and I. M. Miron
Phys. Rev. Applied 13, 054039 (2020) - Published 18 May, 2020
David Perconte, Samuel Mañas-Valero, Eugenio Coronado, Isabel Guillamón, and Hermann Suderow
Phys. Rev. Applied 13, 054040 (2020) - Published 18 May, 2020
Luca Calderaro, Andrea Stanco, Costantino Agnesi, Marco Avesani, Daniele Dequal, Paolo Villoresi, and Giuseppe Vallone
Phys. Rev. Applied 13, 054041 (2020) - Published 18 May, 2020
Guilherme Stein, Vladislav Bushmakin, Yijun Wang (王奕钧), Andreas W. Schell, and Ilja Gerhardt
Phys. Rev. Applied 13, 054042 (2020) - Published 18 May, 2020
L. L. Tao, Azad Naeemi, and Evgeny Y. Tsymbal
Phys. Rev. Applied 13, 054043 (2020) - Published 19 May, 2020
In the emerging field of , logic gates are typically based on the valley-pseudospin degree of freedom in materials with particular electronic structures. For certain two-dimensional (2D) materials, the valley-dependent spin polarization is 100% and can be switched by an electric field. The authors design valley-spin logic gates based on certain 2D materials, and demonstrate seven complete logic gates: NOT, XNOR, XOR, AND, NAND, OR, and NOR. Importantly, the proposed valley-spin gates satisfy the concatenation requirement, which is key for practical use: The output of one can be used as the input for the next, and all inputs and outputs are plain voltages.
Zhong Shi, Shi-Jie Xu, Li Ma, Shi-Ming Zhou, and Guang-Yu Guo
Phys. Rev. Applied 13, 054044 (2020) - Published 19 May, 2020
Martin Hrtoň, Andrea Konečná, Michal Horák, Tomáš Šikola, and Vlastimil Křápek
Phys. Rev. Applied 13, 054045 (2020) - Published 19 May, 2020
Kan Ding and Stephen R. Forrest
Phys. Rev. Applied 13, 054046 (2020) - Published 19 May, 2020
Matthias C. Krantz and Martina Gerken
Phys. Rev. Applied 13, 054047 (2020) - Published 20 May, 2020
Yongjin Sung
Phys. Rev. Applied 13, 054048 (2020) - Published 20 May, 2020
Haoyang Zhang, Daoqian Zhu, Wang Kang, Youguang Zhang, and Weisheng Zhao
Phys. Rev. Applied 13, 054049 (2020) - Published 20 May, 2020
Christian Schelte, Denis Hessel, Julien Javaloyes, and Svetlana V. Gurevich
Phys. Rev. Applied 13, 054050 (2020) - Published 20 May, 2020
Plamen Kamenov, Wen-Sen Lu, Konstantin Kalashnikov, Thomas DiNapoli, Matthew T. Bell, and Michael E. Gershenson
Phys. Rev. Applied 13, 054051 (2020) - Published 20 May, 2020
M. Anderson, T. Müller, J. Skiba-Szymanska, A. B. Krysa, J. Huwer, R. M. Stevenson, J. Heffernan, D. A. Ritchie, and A. J. Shields
Phys. Rev. Applied 13, 054052 (2020) - Published 21 May, 2020
Semiconductor quantum dots are prime candidates for applications in quantum networks, such as quantum relays, but their typical emission wavelength, polarization-based qubit encoding scheme, and low operating frequency are incompatible with existing technologies. This study shows that InAs/InP quantum dots driven with gigahertz-clocked pulses, in combination with qubit-transcoding interferometers, can bridge these gaps. The observed teleportation of time-bin qubits in the telecom band, even when repetition rates exceed the inverse lifetime of the dot, shows the potential for integrating such devices with long-distance quantum network technologies.
Chen Avinadav, Dimitry Yankelev, Ofer Firstenberg, and Nir Davidson
Phys. Rev. Applied 13, 054053 (2020) - Published 21 May, 2020
Lauren Zundel and Alejandro Manjavacas
Phys. Rev. Applied 13, 054054 (2020) - Published 21 May, 2020
Renhao Xing, Yuanshi Kou, Yasai Wang, Jiayang Zhou, Yucong Wei, Long You, Rui Xiong, Zhongming Zeng, Shiheng Liang, Xiaofei Yang, Zhendong Zhang, and Yue Zhang
Phys. Rev. Applied 13, 054055 (2020) - Published 21 May, 2020
Boyuan Jin and Christos Argyropoulos
Phys. Rev. Applied 13, 054056 (2020) - Published 22 May, 2020
E. Moreva, E. Bernardi, P. Traina, A. Sosso, S. Ditalia Tchernij, J. Forneris, F. Picollo, G. Brida, Ž. Pastuović, I. P. Degiovanni, P. Olivero, and M. Genovese
Phys. Rev. Applied 13, 054057 (2020) - Published 22 May, 2020
S. Davari, J. Stacy, A.M. Mercado, J.D. Tull, R. Basnet, K. Pandey, K. Watanabe, T. Taniguchi, J. Hu, and H.O.H. Churchill
Phys. Rev. Applied 13, 054058 (2020) - Published 22 May, 2020
Devices based on few-layer transition-metal dichalcogenides are rapidly being developed for various quantum technologies, such as valleytronic qubits and quantum emitters. Gate-defined quantum dots provide an appealing platform for coherent control of individual valley pseudospins, but well-resolved, discrete energy levels are required. The authors report gate-defined quantum dots in monolayer and bilayer WSe, small enough to allow observation of transport through discrete levels. These devices thus satisfy an essential requirement for the development of (opto)electronic qubits based on valley-pseudospin states.
Hiroki Takesue, Kensuke Inaba, Takahiro Inagaki, Takuya Ikuta, Yasuhiro Yamada, Toshimori Honjo, Takushi Kazama, Koji Enbutsu, Takeshi Umeki, and Ryoichi Kasahara
Phys. Rev. Applied 13, 054059 (2020) - Published 22 May, 2020
John P.S. Peterson, Roberto S. Sarthour, and Raymond Laflamme
Phys. Rev. Applied 13, 054060 (2020) - Published 22 May, 2020
Lou Li, Huiying Cao, Bo Xu, Junkai Deng, Jingran Liu, Yilun Liu, Xiangdong Ding, Jun Sun, and Jefferson Zhe Liu
Phys. Rev. Applied 13, 054061 (2020) - Published 26 May, 2020
Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, and Mikel Sanz
Phys. Rev. Applied 13, 054062 (2020) - Published 26 May, 2020
Shuai-Peng Wang, Guo-Qiang Zhang, Yimin Wang, Zhen Chen, Tiefu Li, J. S. Tsai, Shi-Yao Zhu, and J. Q. You
Phys. Rev. Applied 13, 054063 (2020) - Published 26 May, 2020
Dikai Niu, Myriam Zerrad, Aude Lereu, Antonin Moreau, Julien Lumeau, Juan Antonio Zapien, Ali Passian, Vincent Aubry, and Claude Amra
Phys. Rev. Applied 13, 054064 (2020) - Published 26 May, 2020
Bing Qi, Hyrum Gunther, Philip G. Evans, Brian P. Williams, Ryan M. Camacho, and Nicholas A. Peters
Phys. Rev. Applied 13, 054065 (2020) - Published 26 May, 2020
Chuan Liu, Zihao Chen, Kairong Huang, Sujuan Hu, Xiaoci Liang, and Jun Chen
Phys. Rev. Applied 13, 054066 (2020) - Published 27 May, 2020
Visual representations of the voltages, currents, and electric potentials of vertical transistors could help engineers design circuits employing these advanced devices.
H. Yasuda, L. M. Korpas, and J. R. Raney
Phys. Rev. Applied 13, 054067 (2020) - Published 27 May, 2020
H. Y. Chen, S. A. Bhave, and G. D. Fuchs
Phys. Rev. Applied 13, 054068 (2020) - Published 27 May, 2020
Guangyao Xu, Zhengyang Ni, Xizhou Chen, Juan Tu, Xiasheng Guo, Henrik Bruus, and Dong Zhang
Phys. Rev. Applied 13, 054069 (2020) - Published 27 May, 2020
D.A. Burdin, D.V. Chashin, N.A. Ekonomov, V. L. Preobrazhenskii, S.N. Gordeev, and Y.K. Fetisov
Phys. Rev. Applied 13, 054070 (2020) - Published 27 May, 2020
Mark-Jan van der Meulen, Hans Reinten, Herman Wijshoff, Michel Versluis, Detlef Lohse, and Paul Steen
Phys. Rev. Applied 13, 054071 (2020) - Published 28 May, 2020
S.J. Pauka, K. Das, J.M. Hornibrook, G.C. Gardner, M.J. Manfra, M.C. Cassidy, and D.J. Reilly
Phys. Rev. Applied 13, 054072 (2020) - Published 28 May, 2020
Markus Stein, Christian Fuchs, Wolfgang Stolz, Daniel M. Mittleman, and Martin Koch
Phys. Rev. Applied 13, 054073 (2020) - Published 28 May, 2020
Ke Wang, Gongwei Hu, Ruhao Liu, Yaming Zhang, Minjiang Dan, Lijie Li, and Yan Zhang
Phys. Rev. Applied 13, 054074 (2020) - Published 28 May, 2020
Jacob Tinnin, Srijana Bhandari, Pengzhi Zhang, Huseyin Aksu, Buddhadev Maiti, Eitan Geva, Barry D. Dunietz, Xiang Sun, and Margaret S. Cheung
Phys. Rev. Applied 13, 054075 (2020) - Published 28 May, 2020
D. Odkhuu, T. Ochirkhuyag, and S. C. Hong
Phys. Rev. Applied 13, 054076 (2020) - Published 29 May, 2020
Girish Kulkarni, Suman Karan, and Anand K. Jha
Phys. Rev. Applied 13, 054077 (2020) - Published 29 May, 2020
Ziyao Feng and Xiankai Sun
Phys. Rev. Applied 13, 054078 (2020) - Published 29 May, 2020
Jochen Braumüller, Leon Ding, Antti P. Vepsäläinen, Youngkyu Sung, Morten Kjaergaard, Tim Menke, Roni Winik, David Kim, Bethany M. Niedzielski, Alexander Melville, Jonilyn L. Yoder, Cyrus F. Hirjibehedin, Terry P. Orlando, Simon Gustavsson, and William D. Oliver
Phys. Rev. Applied 13, 054079 (2020) - Published 29 May, 2020
Jiuyang Lu, Xueqin Huang, Mou Yan, Feng Li, Weiyin Deng, and Zhengyou Liu
Phys. Rev. Applied 13, 054080 (2020) - Published 29 May, 2020
