Joachim Marco Hermansen, Frederik Laust Durhuus, Cathrine Frandsen, Marco Beleggia, Christian R.H. Bahl, and Rasmus Bjørk
Phys. Rev. Applied 20, 044036 (2023) - Published 13 October, 2023
A detailed experimental analysis explains the forces by which a spinning magnet can cause another magnet to levitate in midair.
Pei-Lin Zheng, Jia-Bao Wang, and Yi Zhang
Phys. Rev. Applied 20, 044002 (2023) - Published 2 October, 2023
Application of machine learning to quantum data and models has been held back by the lack of adaptability and efficiency in present-day neural networks. This study proposes fermion neural networks for quantum-adaptive machine learning with direct applications to complex quantum systems, and offers in situ analysis without preprocessing or presumption. An efficient optimization comparable to back propagation is established, enabling competitive performance in challenging machine-learning benchmarks. Fermion neural networks’ quantum properties, such as entanglement and correlation, also bring various advantages and insights.
Chun-Ju Wu, Daniel Riedel, Andrei Ruskuc, Ding Zhong, Hyounghan Kwon, and Andrei Faraon
Phys. Rev. Applied 20, 044018 (2023) - Published 6 October, 2023
Yb ions in yttrium orthovanadate are promising candidates for building quantum networks, based on their excellent optical and spin properties and access to a secondary nuclear-spin quantum register. In this study the authors transfer GaAs photonic crystal nanobeam resonators to the surface of the host YVO to enhance the optical transitions of the Yb ions and efficiently collect the emitted photons. This hybrid quantum photonic interface facilitates addressing of single Yb ions and paves the way for the implementation of a scalable photonic architecture in the near infrared.
Dimitris Kechrakos, Vito Puliafito, Alejandro Riveros, Jiahao Liu, Wanjun Jiang, Mario Carpentieri, Riccardo Tomasello, and Giovanni Finocchio
Phys. Rev. Applied 20, 044039 (2023) - Published 16 October, 2023
After more than a decade of investigation, unconventional Skyrmionics stands as one of the most promising and interesting directions to explore. The authors show the potentials of the combination of skyrmions with nanoring geometry, by proposing three energy-efficient nanoscale devices: A skyrmion clock with a tunable frequency, a skyrmion alternator where the skyrmion motion is converted into an electrical signal (potentially at V), and a skyrmion energy harvester to partially recover dissipated heat into electrical energy. This work will stimulate further development in this exciting research direction.
Xi Tan, Hang Song, Ye Ji, Hao Tang, Ying-Yu Fang, Xiao-Yun Xu, Yang-Yang Li, Xuan-Kun Li, Ka-Di Zhu, and Xian-Min Jin
Phys. Rev. Applied 20, 044041 (2023) - Published 16 October, 2023
Three-dimensional photonic chips are superior in handling -complete problems, but their large-scale application is hindered by the difficulty of programming them. The authors experimentally demonstrate a programmable three-dimensional photonic processor capable of solving the maximum clique problem by encoding injection conditions of photons. The prototype shows the potential of photonic computing, and is applied to solve molecular docking problems. The combination of non-von Neumann parallel computing architectures with fully programmable capabilities paves the way for wider practical applications and photonic computational advantages.
Jude Deschamps, Yun Kai, Jet Lem, Ievgeniia Chaban, Alexey Lomonosov, Abdelmadjid Anane, Steven E. Kooi, Keith A. Nelson, and Thomas Pezeril
Phys. Rev. Applied 20, 044044 (2023) - Published 17 October, 2023
Pulsed lasers are routinely used to optically excite and detect ultrasounds in a broad frequency range, from megahertz to terahertz. Though well-established for decades, this technique of laser ultrasonics is constrained by the potential optical damage it may cause to the sample, resulting in the generation of relatively weak pressures, well below kilobars. This study introduces a methodology for the excitation of nondestructive shock waves, at a high repetition rate, limited only by the mechanical strength of the sample. This work establishes a way to repeatedly deliver high-amplitude strain pulses to samples of interest, facilitating the dynamical study of strain-induced phenomena.
Julien Bréhin, Luis M. Vicente Arche, Sara Varotto, Srijani Mallik, Jean-Philippe Attané, Laurent Vila, Agnès Barthélémy, Nicolas Bergeal, and Manuel Bibes
Phys. Rev. Applied 20, 044060 (2023) - Published 24 October, 2023
Rashba interfaces enable spin-charge interconversion via the direct and inverse Edelstein effects, and so may be used to replace ferromagnets as efficient sources and detectors of spin. However, the direction of spins generated by a ferromagnet can be easily switched, while that of spins generated by a Rashba system is usually fixed, being set by its electronic structure. This study shows that in SrTiO-based Rashba interfaces, where multiple electronic bands contribute differently to charge-spin conversion, the application of gate voltage enables a sign change of the charge-spin conversion effect. This offers possibilities for innovative spin-based logic devices.
H. Gress, J. Barbish, C. Yanik, I.I. Kaya, R.T. Erdogan, M.S. Hanay, M. González, O. Svitelskiy, M.R. Paul, and K.L. Ekinci
Phys. Rev. Applied 20, 044061 (2023) - Published 24 October, 2023
The ultimate precision attainable in a mechanical measurement can be determined from the random Brownian motion of the mechanical structure, if the nature of the fluctuations is well understood. To this end, the authors study the Brownian fluctuations of a nanomechanical beam in a viscous fluid. Their predictions based on elasticity theory, fluid dynamics, and statistical mechanics agree well with their experiments, indicating that the observed fluctuations come with “viscous memory”, but no spatial correlations. The insights from this work are expected to impact the design of nanoelectromechanical systems, cantilevers for atomic force microscopy, and other mechanical sensors.
Xiaolong Dong, Dongyu Liu, Mingsheng Tian, Shuheng Liu, Yi Li, Tianxiao Hu, Qiongyi He, Haitan Xu, and Zheng Li
Phys. Rev. Applied 20, 044001 (2023) - Published 2 October, 2023
Pei-Lin Zheng, Jia-Bao Wang, and Yi Zhang
Phys. Rev. Applied 20, 044002 (2023) - Published 2 October, 2023
Application of machine learning to quantum data and models has been held back by the lack of adaptability and efficiency in present-day neural networks. This study proposes fermion neural networks for quantum-adaptive machine learning with direct applications to complex quantum systems, and offers in situ analysis without preprocessing or presumption. An efficient optimization comparable to back propagation is established, enabling competitive performance in challenging machine-learning benchmarks. Fermion neural networks’ quantum properties, such as entanglement and correlation, also bring various advantages and insights.
Sarah R. Evans, Emeric Deylgat, Edward Chen, and William G. Vandenberghe
Phys. Rev. Applied 20, 044003 (2023) - Published 3 October, 2023
Jie Ren and Zhilin Hou
Phys. Rev. Applied 20, 044004 (2023) - Published 3 October, 2023
V. Lovic, D.G. Marangon, P.R. Smith, R.I. Woodward, and A.J. Shields
Phys. Rev. Applied 20, 044005 (2023) - Published 3 October, 2023
Yoann Pelet, Grégory Sauder, Mathis Cohen, Laurent Labonté, Olivier Alibart, Anthony Martin, and Sébastien Tanzilli
Phys. Rev. Applied 20, 044006 (2023) - Published 3 October, 2023
Camila Horvath, Yolanda Vargas-Hernández, and María Luisa Cordero
Phys. Rev. Applied 20, 044007 (2023) - Published 4 October, 2023
Licheng Luo, Liping Ye, Hailong He, Jiuyang Lu, Manzhu Ke, and Zhengyou Liu
Phys. Rev. Applied 20, 044008 (2023) - Published 4 October, 2023
Paweł Wyborski, Michał Gawełczyk, Paweł Podemski, Piotr Andrzej Wroński, Mirosława Pawlyta, Sandeep Gorantla, Fauzia Jabeen, Sven Höfling, and Grzegorz Sęk
Phys. Rev. Applied 20, 044009 (2023) - Published 4 October, 2023
Antonio Alex-Amor, Salvador Moreno-Rodríguez, Pablo Padilla, Juan F. Valenzuela-Valdés, and Carlos Molero
Phys. Rev. Applied 20, 044010 (2023) - Published 4 October, 2023
Bing-Hong Li, Yuan-Mei Xie, Xiao-Yu Cao, Chen-Long Li, Yao Fu, Hua-Lei Yin, and Zeng-Bing Chen
Phys. Rev. Applied 20, 044011 (2023) - Published 4 October, 2023
Yinqi Chen, Konstantin N. Nesterov, Hugh Churchill, Javad Shabani, Vladimir E. Manucharyan, and Maxim G. Vavilov
Phys. Rev. Applied 20, 044012 (2023) - Published 5 October, 2023
Liying Han, Yang Li, Hao Tan, Weiyang Zhang, Wenqi Cai, Juan Yin, Jigang Ren, Feihu Xu, Shengkai Liao, and Chengzhi Peng
Phys. Rev. Applied 20, 044013 (2023) - Published 5 October, 2023
Guo-Qiang Zhang, Wei Feng, Wei Xiong, Da Xu, Qi-Ping Su, and Chui-Ping Yang
Phys. Rev. Applied 20, 044014 (2023) - Published 5 October, 2023
Soufyane Khattou, Yamina Rezzouk, Madiha Amrani, Mohamed El Ghafiani, El Houssaine El Boudouti, Abdelkrim Talbi, and Bahram Djafari-Rouhani
Phys. Rev. Applied 20, 044015 (2023) - Published 5 October, 2023
Meiyu Wang, Hao Guo, Fengli Yan, and Ting Gao
Phys. Rev. Applied 20, 044016 (2023) - Published 5 October, 2023
Jesse A. Rodríguez and Mark A. Cappelli
Phys. Rev. Applied 20, 044017 (2023) - Published 6 October, 2023
Chun-Ju Wu, Daniel Riedel, Andrei Ruskuc, Ding Zhong, Hyounghan Kwon, and Andrei Faraon
Phys. Rev. Applied 20, 044018 (2023) - Published 6 October, 2023
Yb ions in yttrium orthovanadate are promising candidates for building quantum networks, based on their excellent optical and spin properties and access to a secondary nuclear-spin quantum register. In this study the authors transfer GaAs photonic crystal nanobeam resonators to the surface of the host YVO to enhance the optical transitions of the Yb ions and efficiently collect the emitted photons. This hybrid quantum photonic interface facilitates addressing of single Yb ions and paves the way for the implementation of a scalable photonic architecture in the near infrared.
Zhihua Deng, Dingshan Gao, Jianji Dong, and Xinliang Zhang
Phys. Rev. Applied 20, 044019 (2023) - Published 6 October, 2023
Xiaorui Tan, Hongjing Li, Qi Song, Binke Xia, Tailong Xiao, Shurong Wei, Jingzheng Huang, and Guihua Zeng
Phys. Rev. Applied 20, 044020 (2023) - Published 6 October, 2023
S. Frasca, I.N. Arabadzhiev, S.Y. Bros de Puechredon, F. Oppliger, V. Jouanny, R. Musio, M. Scigliuzzo, F. Minganti, P. Scarlino, and E. Charbon
Phys. Rev. Applied 20, 044021 (2023) - Published 9 October, 2023
Juan Bisquert
Phys. Rev. Applied 20, 044022 (2023) - Published 9 October, 2023
Zhen Hao, Biqiang Jiang, Yuxin Ma, Ruixuan Yi, Xuetao Gan, and Jianlin Zhao
Phys. Rev. Applied 20, 044023 (2023) - Published 9 October, 2023
Vladimir R. Tuz, Andrey B. Evlyukhin, and Volodymyr I. Fesenko
Phys. Rev. Applied 20, 044024 (2023) - Published 9 October, 2023
P. Amari, S. Kozlov, E. Recoba-Pawlowski, Z. Velluire-Pellat, A. Jouan, F. Couëdo, C. Ulysse, J. Briatico, D. Roditchev, N. Bergeal, J. Lesueur, and C. Feuillet-Palma
Phys. Rev. Applied 20, 044025 (2023) - Published 10 October, 2023
Aleksei A. Nikitin, Andrey E. Komlev, Andrey A. Nikitin, Alexey B. Ustinov, and Erkki Lähderanta
Phys. Rev. Applied 20, 044026 (2023) - Published 10 October, 2023
Andreas Frisk, Barat Achinuq, David G. Newman, Maciej Dąbrowski, Robert J. Hicken, Gerrit van der Laan, and Thorsten Hesjedal
Phys. Rev. Applied 20, 044027 (2023) - Published 10 October, 2023
Gui-Han Liang, Xiao-Hui Song, Cheng-Lin Deng, Xu-Yang Gu, Yu Yan, Zheng-Yang Mei, Si-Lu Zhao, Yi-Zhou Bu, Yong-Xi Xiao, Yi-Han Yu, Ming-Chuan Wang, Tong Liu, Yun-Hao Shi, He Zhang, Xiang Li, Li Li, Jing-Zhe Wang, Ye Tian, Shi-Ping Zhao, Kai Xu, Heng Fan, Zhong-Cheng Xiang, and Dong-Ning Zheng
Phys. Rev. Applied 20, 044028 (2023) - Published 10 October, 2023
Robert E. Camley, Anna L. Carpenter, and Karen L. Livesey
Phys. Rev. Applied 20, 044029 (2023) - Published 11 October, 2023
R. Goncharov, Alexei D. Kiselev, E.S. Moiseev, E. Samsonov, S.A. Moiseev, F. Kiselev, and V. Egorov
Phys. Rev. Applied 20, 044030 (2023) - Published 11 October, 2023
Wenfang Li, Jinjin Du, C. M. Wilson, and Michal Bajcsy
Phys. Rev. Applied 20, 044031 (2023) - Published 11 October, 2023
Wen-Zhe Yan, Zhibo Hou, Jun-Feng Tang, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, and Marc-Olivier Renou
Phys. Rev. Applied 20, 044032 (2023) - Published 12 October, 2023
Zhaohui Ma, Jia-Yang Chen, Malvika Garikapati, Zhan Li, Chao Tang, Yong Meng Sua, and Yu-Ping Huang
Phys. Rev. Applied 20, 044033 (2023) - Published 12 October, 2023
Abhijit Ghosh, Abhishek Talapatra, Sarjoosing Goolaup, and Sze Ter Lim
Phys. Rev. Applied 20, 044034 (2023) - Published 12 October, 2023
Riyi Zheng, Yating Yang, Weiyin Deng, Jiuyang Lu, Xueqin Huang, and Zhengyou Liu
Phys. Rev. Applied 20, 044035 (2023) - Published 13 October, 2023
Joachim Marco Hermansen, Frederik Laust Durhuus, Cathrine Frandsen, Marco Beleggia, Christian R.H. Bahl, and Rasmus Bjørk
Phys. Rev. Applied 20, 044036 (2023) - Published 13 October, 2023
A detailed experimental analysis explains the forces by which a spinning magnet can cause another magnet to levitate in midair.
Byunggi Kim, Hodaka Kurokawa, Katsuta Sakai, Kazuki Koshino, Hideo Kosaka, and Masahiro Nomura
Phys. Rev. Applied 20, 044037 (2023) - Published 13 October, 2023
Mikio Takezawa, Ryota Suzuki, Junichi Takahashi, Kaito Shimizu, Ayumu Naruki, Kazutaka Katsumata, Kae Nemoto, Mark Sadgrove, and Kaoru Sanaka
Phys. Rev. Applied 20, 044038 (2023) - Published 16 October, 2023
Dimitris Kechrakos, Vito Puliafito, Alejandro Riveros, Jiahao Liu, Wanjun Jiang, Mario Carpentieri, Riccardo Tomasello, and Giovanni Finocchio
Phys. Rev. Applied 20, 044039 (2023) - Published 16 October, 2023
After more than a decade of investigation, unconventional Skyrmionics stands as one of the most promising and interesting directions to explore. The authors show the potentials of the combination of skyrmions with nanoring geometry, by proposing three energy-efficient nanoscale devices: A skyrmion clock with a tunable frequency, a skyrmion alternator where the skyrmion motion is converted into an electrical signal (potentially at V), and a skyrmion energy harvester to partially recover dissipated heat into electrical energy. This work will stimulate further development in this exciting research direction.
Benjamin Griffiths, Yuen San Lo, James F. Dynes, Robert I. Woodward, and Andrew J. Shields
Phys. Rev. Applied 20, 044040 (2023) - Published 16 October, 2023
Xi Tan, Hang Song, Ye Ji, Hao Tang, Ying-Yu Fang, Xiao-Yun Xu, Yang-Yang Li, Xuan-Kun Li, Ka-Di Zhu, and Xian-Min Jin
Phys. Rev. Applied 20, 044041 (2023) - Published 16 October, 2023
Three-dimensional photonic chips are superior in handling -complete problems, but their large-scale application is hindered by the difficulty of programming them. The authors experimentally demonstrate a programmable three-dimensional photonic processor capable of solving the maximum clique problem by encoding injection conditions of photons. The prototype shows the potential of photonic computing, and is applied to solve molecular docking problems. The combination of non-von Neumann parallel computing architectures with fully programmable capabilities paves the way for wider practical applications and photonic computational advantages.
Xiaotian Wang, Lirong Wang, Chengwu Xie, Ying Liu, Guodong Liu, Wenhong Wang, Zhenxiang Cheng, Gang Zhang, and Xiaoming Zhang
Phys. Rev. Applied 20, 044042 (2023) - Published 17 October, 2023
Gento Yamahata, Nathan Johnson, and Akira Fujiwara
Phys. Rev. Applied 20, 044043 (2023) - Published 17 October, 2023
Jude Deschamps, Yun Kai, Jet Lem, Ievgeniia Chaban, Alexey Lomonosov, Abdelmadjid Anane, Steven E. Kooi, Keith A. Nelson, and Thomas Pezeril
Phys. Rev. Applied 20, 044044 (2023) - Published 17 October, 2023
Pulsed lasers are routinely used to optically excite and detect ultrasounds in a broad frequency range, from megahertz to terahertz. Though well-established for decades, this technique of laser ultrasonics is constrained by the potential optical damage it may cause to the sample, resulting in the generation of relatively weak pressures, well below kilobars. This study introduces a methodology for the excitation of nondestructive shock waves, at a high repetition rate, limited only by the mechanical strength of the sample. This work establishes a way to repeatedly deliver high-amplitude strain pulses to samples of interest, facilitating the dynamical study of strain-induced phenomena.
James E. March, Benjamin D. Wood, Colin J. Stephen, Laura Durán Fervenza, Ben G. Breeze, Soumen Mandal, Andrew M. Edmonds, Daniel J. Twitchen, Matthew L. Markham, Oliver A. Williams, and Gavin W. Morley
Phys. Rev. Applied 20, 044045 (2023) - Published 17 October, 2023
Thomas Pope and Thomas Penfold
Phys. Rev. Applied 20, 044046 (2023) - Published 18 October, 2023
Nathan Perchikov, Đorđe Vujić, Branimir Bajac, Andrea Alù, Vesna Bengin, and Nikolina Janković
Phys. Rev. Applied 20, 044047 (2023) - Published 18 October, 2023
Xudong Fan, Yifan Zhu, Ning Li, Chunsheng Weng, and Badreddine Assouar
Phys. Rev. Applied 20, 044048 (2023) - Published 18 October, 2023
G.P. Teja and Chanchal
Phys. Rev. Applied 20, 044049 (2023) - Published 18 October, 2023
R. Dassonneville, T. Ramos, V. Milchakov, C. Mori, L. Planat, F. Foroughi, C. Naud, W. Hasch-Guichard, J.J. García-Ripoll, N. Roch, and O. Buisson
Phys. Rev. Applied 20, 044050 (2023) - Published 19 October, 2023
Nolan Kowitt, Rustam Balafendiev, Dajie Sun, Mackenzie Wooten, Alexander Droster, Maxim A. Gorlach, Karl van Bibber, and Pavel A. Belov
Phys. Rev. Applied 20, 044051 (2023) - Published 19 October, 2023
Domenico Ribezzo, Mujtaba Zahidy, Gianmarco Lemmi, Antoine Petitjean, Claudia De Lazzari, Ilaria Vagniluca, Enrico Conca, Alberto Tosi, Tommaso Occhipinti, Leif K. Oxenløwe, André Xuereb, Davide Bacco, and Alessandro Zavatta
Phys. Rev. Applied 20, 044052 (2023) - Published 19 October, 2023
Yu-Ze Tian, Xiao-Lei Tang, Yan-Feng Wang, Vincent Laude, and Yue-Sheng Wang
Phys. Rev. Applied 20, 044053 (2023) - Published 19 October, 2023
M. Zemlicka, E. Redchenko, M. Peruzzo, F. Hassani, A. Trioni, S. Barzanjeh, and J.M. Fink
Phys. Rev. Applied 20, 044054 (2023) - Published 20 October, 2023
Pankaj Pathak, Ajay Kumar, and Dhiman Mallick
Phys. Rev. Applied 20, 044055 (2023) - Published 20 October, 2023
Lishu Zhang, Hui Li, Yanyan Jiang, Zishen Wang, Tao Li, and Sumit Ghosh
Phys. Rev. Applied 20, 044056 (2023) - Published 20 October, 2023
Jake Love, Robin Msiska, Jeroen Mulkers, George Bourianoff, Jonathan Leliaert, and Karin Everschor-Sitte
Phys. Rev. Applied 20, 044057 (2023) - Published 20 October, 2023
Inga Seidler, Malte Neul, Eugen Kammerloher, Matthias Künne, Andreas Schmidbauer, Laura K. Diebel, Arne Ludwig, Julian Ritzmann, Andreas D. Wieck, Dominique Bougeard, Hendrik Bluhm, and Lars R. Schreiber
Phys. Rev. Applied 20, 044058 (2023) - Published 23 October, 2023
Christa Zoufal, David Sutter, and Stefan Woerner
Phys. Rev. Applied 20, 044059 (2023) - Published 23 October, 2023
Julien Bréhin, Luis M. Vicente Arche, Sara Varotto, Srijani Mallik, Jean-Philippe Attané, Laurent Vila, Agnès Barthélémy, Nicolas Bergeal, and Manuel Bibes
Phys. Rev. Applied 20, 044060 (2023) - Published 24 October, 2023
Rashba interfaces enable spin-charge interconversion via the direct and inverse Edelstein effects, and so may be used to replace ferromagnets as efficient sources and detectors of spin. However, the direction of spins generated by a ferromagnet can be easily switched, while that of spins generated by a Rashba system is usually fixed, being set by its electronic structure. This study shows that in SrTiO-based Rashba interfaces, where multiple electronic bands contribute differently to charge-spin conversion, the application of gate voltage enables a sign change of the charge-spin conversion effect. This offers possibilities for innovative spin-based logic devices.
H. Gress, J. Barbish, C. Yanik, I.I. Kaya, R.T. Erdogan, M.S. Hanay, M. González, O. Svitelskiy, M.R. Paul, and K.L. Ekinci
Phys. Rev. Applied 20, 044061 (2023) - Published 24 October, 2023
The ultimate precision attainable in a mechanical measurement can be determined from the random Brownian motion of the mechanical structure, if the nature of the fluctuations is well understood. To this end, the authors study the Brownian fluctuations of a nanomechanical beam in a viscous fluid. Their predictions based on elasticity theory, fluid dynamics, and statistical mechanics agree well with their experiments, indicating that the observed fluctuations come with “viscous memory”, but no spatial correlations. The insights from this work are expected to impact the design of nanoelectromechanical systems, cantilevers for atomic force microscopy, and other mechanical sensors.
W. Legrand, S. Lopes, Q. Schaeverbeke, F. Montaigne, and M.M. Desjardins
Phys. Rev. Applied 20, 044062 (2023) - Published 24 October, 2023
Javier Tajuelo, Óscar Martínez-Cano, Jose R. Morillas, Jianjian Yang, and Juan de Vicente
Phys. Rev. Applied 20, 044063 (2023) - Published 24 October, 2023
Salawu Omotayo Akande, Bipasa Samanta, Cem Sevik, and Deniz Çakır
Phys. Rev. Applied 20, 044064 (2023) - Published 25 October, 2023
Mahadevan Subramanian, Amal Mathew, and Bhaskaran Muralidharan
Phys. Rev. Applied 20, 044065 (2023) - Published 25 October, 2023
Yu Zhang, Yanqing Shen, Lingling Lv, Min Zhou, Xin Yang, Xianghui Meng, Nan Zhang, Kexin Wang, Bing Zhang, and Zhongxiang Zhou
Phys. Rev. Applied 20, 044066 (2023) - Published 25 October, 2023
Martino Aldrigo, Anna C. Tasolamprou, Dan Vasilache, Maria Kafesaki, Sergiu Iordanescu, Florin Nastase, and Mircea Dragoman
Phys. Rev. Applied 20, 044067 (2023) - Published 25 October, 2023
Javier Pablo-Navarro, Nico Klingner, Gregor Hlawacek, Attila Kákay, Lothar Bischoff, Ryszard Narkowicz, Paul Mazarov, René Hübner, Fabian Meyer, Wolfgang Pilz, Jürgen Lindner, and Kilian Lenz
Phys. Rev. Applied 20, 044068 (2023) - Published 26 October, 2023
Tsung-Yin Tsai, Kai Shek Qwah, Jean-Philippe Banon, Marcel Filoche, Claude Weisbuch, Yuh-Renn Wu, and James S. Speck
Phys. Rev. Applied 20, 044069 (2023) - Published 26 October, 2023
Ignacio Gimeno, Víctor Rollano, David Zueco, Yan Duan, Marina C. de Ory, Alicia Gomez, Alejandro Gaita-Ariño, Carlos Sánchez-Azqueta, Thomas Astner, Daniel Granados, Stephen Hill, Johannes Majer, Eugenio Coronado, and Fernando Luis
Phys. Rev. Applied 20, 044070 (2023) - Published 26 October, 2023
Diana Andrés, Alicia Carrión, Francisco Camarena, and Noé Jiménez
Phys. Rev. Applied 20, 044071 (2023) - Published 26 October, 2023
N. Crescini, E.G. Kelly, G. Salis, and A. Fuhrer
Phys. Rev. Applied 20, 044072 (2023) - Published 27 October, 2023
Daniele Morrone, Matteo A.C. Rossi, and Marco G. Genoni
Phys. Rev. Applied 20, 044073 (2023) - Published 27 October, 2023
Kensuke Inaba, Yasuhiro Yamada, and Hiroki Takesue
Phys. Rev. Applied 20, 044074 (2023) - Published 27 October, 2023
Shanshan Liu, Sibo Huang, Zhiling Zhou, Pei Qian, Bin Jia, Hua Ding, Nengyin Wang, Yong Li, and Jie Chen
Phys. Rev. Applied 20, 044075 (2023) - Published 27 October, 2023
F. Braun, T. Scharff, T. Grünbaum, E. Schmid, S. Bange, V.V. Mkhitaryan, and J.M. Lupton
Phys. Rev. Applied 20, 044076 (2023) - Published 30 October, 2023
Teruaki Yoshioka, Hiroto Mukai, Akiyoshi Tomonaga, Shintaro Takada, Yuma Okazaki, Nobu-Hisa Kaneko, Shuji Nakamura, and Jaw-Shen Tsai
Phys. Rev. Applied 20, 044077 (2023) - Published 30 October, 2023
G.A. Kichin, P.N. Skirdkov, and K.A. Zvezdin
Phys. Rev. Applied 20, 044078 (2023) - Published 30 October, 2023
Sabri Koraltan, Christin Schmitt, Florian Bruckner, Claas Abert, Klemens Prügl, Michael Kirsch, Rahul Gupta, Sebastian Zeilinger, Joshua M. Salazar-Mejía, Milan Agrawal, Johannes Güttinger, Armin Satz, Gerhard Jakob, Mathias Kläui, and Dieter Suess
Phys. Rev. Applied 20, 044079 (2023) - Published 30 October, 2023
Zhiguang Xia, Xiao Xiang, Runai Quan, Ruifang Dong, Tao Liu, and Shougang Zhang
Phys. Rev. Applied 20, 044080 (2023) - Published 31 October, 2023
Rouven Koch, David van Driel, Alberto Bordin, Jose L. Lado, and Eliska Greplova
Phys. Rev. Applied 20, 044081 (2023) - Published 31 October, 2023
Malte Röntgen, Olivier Richoux, Georgios Theocharis, Christian V. Morfonios, Peter Schmelcher, Philipp del Hougne, and Vassos Achilleos
Phys. Rev. Applied 20, 044082 (2023) - Published 31 October, 2023
Markus Gattringer, Claas Abert, Qi Wang, Andrii Chumak, and Dieter Suess
Phys. Rev. Applied 20, 044083 (2023) - Published 31 October, 2023