Xiang Xiong, Yuxiang Chen, Zheyu Fang, Ru-Wen Peng, and Mu Wang
Phys. Rev. Applied 24, 064004 (2025) - Published 1 December, 2025
Smith-Purcell radiation (SPR) is a powerful light-generation mechanism, but the devices are limited by static grating geometries. The authors introduce a reconfigurable SPR modulation on a two-dimensional chirped metallic metagrating without changing the nanostructure. By shifting the electron beam, the system delivers tunable emission angles, switchable focal spots, dual-focus functionality, and dual-wavelength output. Angle-resolved cathodoluminescence experiments reveal precise control of SPR dispersion. This work demonstrates a versatile free-electron photonic platform, paving the way for actively tunable, multifunctional light sources for integrated photonic applications.
Changyu Yao, Yue Yu, Yinyao Shi, Ji-In Jung, Zoltán Váci, Yizhou Wang, Zhongyuan Liu, Chuanwei Zhang, Sonia Tikoo-Schantz, and Chong Zu
Phys. Rev. Applied 24, 064020 (2025) - Published 5 December, 2025
Understanding magnetic structures is essential for advancing materials science, spintronics, and geology, but reconstructing magnetization from an experimentally measured magnetic field map has been a challenging inverse problem. The authors introduce a GPU-accelerated method that recovers spatially varying magnetization with minimal prior assumptions and is robust to realistic experimental conditions. This approach reveals magnetic textures such as ferromagnetic domains, topological skyrmions, and a magnetic moiré superlattice. This capability provides a versatile tool for decoding complex magnetization profiles and expands the reach of next-generation quantum magnetic sensing.
Marc Cheneau, Romaric Journet, Matthieu Boffety, François Goudail, Caroline Kulcsár, and Pauline Trouvé-Peloux
Phys. Rev. Applied 24, 064039 (2025) - Published 11 December, 2025
Optical detection of atoms or molecules in microtrap arrays is one of the enabling techniques for quantum simulation and computation. In many settings the individual traps are not optically resolved, and detection accuracy depends crucially on an image-processing algorithm. This study introduces an optimal method, rooted in estimation theory, that can drastically improve detection accuracy compared to familiar algorithms. It also provides a rigorous definition for the signal-to-noise ratio of the problem, which can be used to define the practical conditions under which accurate detection is possible, and to rationalize the design of future experiments in affected fields.
Marcel Mittenbühler, Lukas Sturm, Malte Schlosser, and Gerhard Birkl
Phys. Rev. Applied 24, 064046 (2025) - Published 17 December, 2025
Cutting-edge methods for spatiotemporal control of laser beams deliver impact in many disciplines, from quantum technology and advanced manufacturing to photonics and biology. Innovation requires light fields exhibiting scalable two-dimensional (2D) parallelization, full inividual control, and fast reaction to changing external parameters with low latency. The authors present a model-based control system fulfilling those requirements: reactive, real-time 2D multibeam laser patterning and scanning with strict intensity matching. A timely case study generates large-scale 2D architectures of random-access quantum memories of atomic qubits.
Anna Romanova, Vadim Rodimin, and Konstantin Katamadze
Phys. Rev. Applied 24, 064048 (2025) - Published 18 December, 2025
Optical coherence tomography is widely used in biomedical imaging and materials science, but dispersion in the sample can strongly reduce both resolution and penetration depth. Quantum optical coherence tomography (QOCT) can cancel this dispersion and double the axial resolution, yet existing implementations rely on dim sources and interference signals that are difficult to filter and stabilize. This work demonstrates a robust cross-correlation QOCT scheme based on a Michelson interferometer fed by a bright collinear entangled-photon source, which suppresses parasitic terms, improves the signal-to-noise ratio by a factor of four over standard QOCT, and preserves dispersion cancellation.
Daiki Hatanaka, Motoki Asano, Megumi Kurosu, Yoshitaka Taniyasu, Hajime Okamoto, and Hiroshi Yamaguchi
Phys. Rev. Applied 24, 064053 (2025) - Published 19 December, 2025
Magnon polarons are essential for coherent control in acoustic and spintronic devices, but conventional structures based on magnetic thin films on thick piezoelectric substrates suffer from weak magnon-phonon coupling, due to poor spatial mode overlap. The authors overcome this limitation by employing a mode-matched planar magnomechanical system, with a thin piezoelectric film and a micrometer-thick magnetic layer. This configuration enables deeply distributed magnon modes and enhances magnetoelastic interactions with microwave phonons. As a result, the team observes clear formation of magnon polarons, manifested as pronounced avoided crossings in the spectra.
Xinwei Li, Xinxin Wang, Miao Zhao, and Zhendong Li
Phys. Rev. Applied 24, 060501 (2025) - Published 11 December, 2025
Materials that remain ventilating while providing airborne sound insulation are highly desirable for everyday noise controllers. This review discusses lattice metamaterials as an innovative class of advanced structures capable of fulfilling both functions. The authors survey sound-insulation performance and mechanisms, and identify the most effective types of architectures among distinct categories of lattice metamaterials. In addition, they propose numerical strategies to enable accelerated design exploration.
Roman Anufriev, Michele Diego, Sebastian Volz, and Masahiro Nomura
Phys. Rev. Applied 24, L061001 (2025) - Published 2 December, 2025
Phononic crystals are artificial periodic structures that leverage phonon wave interference to control mechanical vibrations at various length scales. Their spatial and spectral limits, however, are currently unknown. The authors report experimental observations of a surprising breakdown of phonon interference in two-dimensional nanoscale phononic crystals. These findings refine the current understanding of nanoscale phonon interference, and should guide phononic crystal applications in microelectronics and acoustic quantum computing.
Yuxiang Huang, Wei Wu, Qingyuan Mei, and Yiheng Lin
Phys. Rev. Applied 24, L061002 (2025) - Published 23 December, 2025
Trapped-ion magnetometers allow ultrasensitive detection of radio-frequency magnetic fields, but further gains in sensitivity via scaling these systems to large ion ensembles have been hampered by field inhomogeneity and temporal instability. This Letter presents a mixed dynamical-decoupling (MDD) protocol to simultaneously suppress spatial variations and temporal noise, enabling robust coherence protection. Theory shows that MDD can extend coherence times to several minutes while providing intrinsic resilience to field inhomogeneity, to support operation with ensembles of up to ions and rf magnetic field sensitivity of 13 fT/.
Nicolas Wyszkowski, Arunn Suntharalingam, Max Vitek, Arkady Kurnosov, Lucas J. Fernández-Alcázar, and Tsampikos Kottos
Phys. Rev. Applied 24, L061003 (2025) - Published 31 December, 2025
Emission control is key for technologies ranging from antennas and sensors to quantum light sources, and is typically constrained by the traditional Purcell picture tied to Lorentzian resonances. The authors design rf cavities with higher-order exceptional-point degeneracies to demonstrate, both theoretically and experimentally, an emissivity enhancement that surpasses standard Purcell predictions. They trace this enhancement to a cubed Lorentzian local density of states, enabled by tailored spatial dissipation. This mechanism offers a lever to engineer emission across rf and optical platforms, without resorting to ultrahigh-Q or nanoscale cavities.
Jia Kong, Yaping Feng, Yihan Wang, Qingwei Wang, and Xiao-Ming Lu
Phys. Rev. Applied 24, 064001 (2025) - Published 1 December, 2025
Zhanyuan Zhang, Wanchun Zhang, Jiayi Yang, Tuqiang Pan, Yi Xu, and Yuwen Qin
Phys. Rev. Applied 24, 064002 (2025) - Published 1 December, 2025
F. Antola, S. Battisti, A. Braggio, F. Giazotto, and G. De Simoni
Phys. Rev. Applied 24, 064003 (2025) - Published 1 December, 2025
Xiang Xiong, Yuxiang Chen, Zheyu Fang, Ru-Wen Peng, and Mu Wang
Phys. Rev. Applied 24, 064004 (2025) - Published 1 December, 2025
Smith-Purcell radiation (SPR) is a powerful light-generation mechanism, but the devices are limited by static grating geometries. The authors introduce a reconfigurable SPR modulation on a two-dimensional chirped metallic metagrating without changing the nanostructure. By shifting the electron beam, the system delivers tunable emission angles, switchable focal spots, dual-focus functionality, and dual-wavelength output. Angle-resolved cathodoluminescence experiments reveal precise control of SPR dispersion. This work demonstrates a versatile free-electron photonic platform, paving the way for actively tunable, multifunctional light sources for integrated photonic applications.
S.C. ten Kate, D.C. Ohnmacht, M. Coraiola, T. Antonelli, S. Paredes, F.J. Schupp, M. Hinderling, S.W. Bedell, W. Belzig, J.C. Cuevas, A.E. Svetogorov, F. Nichele, and D. Sabonis
Phys. Rev. Applied 24, 064005 (2025) - Published 1 December, 2025
D. Huang, J.E. Shoup, A.C. Johnston-Peck, D. Lyu, J.-P. Wang, X. Wang, and D.B. Gopman
Phys. Rev. Applied 24, 064006 (2025) - Published 2 December, 2025
Asbjørn T. Birch, Samel Arslanagić, and Richard W. Ziolkowski
Phys. Rev. Applied 24, 064007 (2025) - Published 2 December, 2025
Nathaniel Bawden, Benjamin J. Carey, Poh-Meng Yeo, Nishta Arora, Leo Sementilli, Victor M. Valenzuela, Erick Romero, Glen I. Harris, Margaret Wegener, and Warwick P. Bowen
Phys. Rev. Applied 24, 064008 (2025) - Published 2 December, 2025
Yaqing Yang, Zhen Zhang, Liwen Zhang, Liantuan Xiao, Suotang Jia, Jun Chen, and Lei Zhang
Phys. Rev. Applied 24, 064009 (2025) - Published 2 December, 2025
Zeyu Han, Yongjun Huo, Yitao Yu, Huangyu Wu, Lihong Gao, Zhuang Ma, Gang Zhang, and Miao Jiang
Phys. Rev. Applied 24, 064010 (2025) - Published 3 December, 2025
Mario Zitelli
Phys. Rev. Applied 24, 064011 (2025) - Published 3 December, 2025
Zhong-Kai Guo, Yulin Xia, and Haixing Miao
Phys. Rev. Applied 24, 064012 (2025) - Published 3 December, 2025
J. Kang et al.
Phys. Rev. Applied 24, 064013 (2025) - Published 3 December, 2025
M. Vescovo, P. Ben-Abdallah, and R. Messina
Phys. Rev. Applied 24, 064014 (2025) - Published 3 December, 2025
Jean Cacheux, Thomas Quénan, Daniel Alcaide, Jose Ordonez-Miranda, Laurent Jalabert, Shizuka Nakano, Makoto Nakanishi, Pierre Cordelier, Aurélien Bancaud, and Yukiko T. Matsunaga
Phys. Rev. Applied 24, 064015 (2025) - Published 4 December, 2025
Chang Hoon Kim, Pawan Kumar, and Jun Hee Lee
Phys. Rev. Applied 24, 064016 (2025) - Published 4 December, 2025
Xinyuan Ma, Swarup Das, David Wilkowski, and Chang Chi Kwong
Phys. Rev. Applied 24, 064017 (2025) - Published 4 December, 2025
Xiaolei Guan, Zheng Xiao, Zijie Liu, Zhiyang Wang, Jia Zhang, Xun Gao, Pengyuan Chang, Tiantian Shi, and Jingbiao Chen
Phys. Rev. Applied 24, 064018 (2025) - Published 4 December, 2025
Chih-Chiao Hung, Hiroki Kutsuma, Chung Wai Sandbo Chang, Arjan Ferdinand van Loo, and Yasunobu Nakamura
Phys. Rev. Applied 24, 064019 (2025) - Published 4 December, 2025
Changyu Yao, Yue Yu, Yinyao Shi, Ji-In Jung, Zoltán Váci, Yizhou Wang, Zhongyuan Liu, Chuanwei Zhang, Sonia Tikoo-Schantz, and Chong Zu
Phys. Rev. Applied 24, 064020 (2025) - Published 5 December, 2025
Understanding magnetic structures is essential for advancing materials science, spintronics, and geology, but reconstructing magnetization from an experimentally measured magnetic field map has been a challenging inverse problem. The authors introduce a GPU-accelerated method that recovers spatially varying magnetization with minimal prior assumptions and is robust to realistic experimental conditions. This approach reveals magnetic textures such as ferromagnetic domains, topological skyrmions, and a magnetic moiré superlattice. This capability provides a versatile tool for decoding complex magnetization profiles and expands the reach of next-generation quantum magnetic sensing.
Ryo Nagai, Takashi Takemoto, Yusuke Wachi, and Hiroyuki Mizuno
Phys. Rev. Applied 24, 064021 (2025) - Published 5 December, 2025
Liang Fang, Duanduan Wan, and Meng Xiao
Phys. Rev. Applied 24, 064022 (2025) - Published 5 December, 2025
While the Berry phase’s influence on energy spectra in the adiabatic limit is well established, its role in resonance transitions has remained elusive. The authors investigate a three-resonator system that carries a quantized Berry phase and find that the resonance transition shows unexpected deviations from frequency conservation. This system also reveals a chiral transition effect in which the final resonant state depends on the direction of the modulation loop. Circuit simulations corroborate these findings. This work bridges topological physics with parametric oscillators, offering new insight into the interplay between topology and dynamical systems.
Haijun Zhao, Tae-Hoon Kim, Lin Zhou, and Liqin Ke
Phys. Rev. Applied 24, 064023 (2025) - Published 5 December, 2025
Justin Dickovick, Vuk Brajuskovic, Iana Volvach, Vipul Sharma, Chuanpu Liu, Vijaysankar Kalappattil, Kayli Wong, Kumar Srinivasan, and Mingzhong Wu
Phys. Rev. Applied 24, 064024 (2025) - Published 5 December, 2025
Tanay Tak, Tsung-Yin Tsai, Wan Ying Ho, Yi Chao Chow, Jacques Peretti, Yuh-Renn Wu, Claude Weisbuch, and James S. Speck
Phys. Rev. Applied 24, 064025 (2025) - Published 8 December, 2025
X.Y. Jin, Z. Parrott, K. Cicak, S. Kotler, F. Lecocq, J. Teufel, J. Aumentado, E. Kapit, and R.W. Simmonds
Phys. Rev. Applied 24, 064026 (2025) - Published 8 December, 2025
Zhen-Xiong Shen, Kun Cao, and Lixin He
Phys. Rev. Applied 24, 064027 (2025) - Published 8 December, 2025
Ryan Gnabasik, Razan O. Nughays, Ashlynn Overholser, Tong Lin, Vijay Kumar, Shantal Adajian, Nicolò Maria della Ventura, Mengyang Gu, Daniel S. Gianola, and Bolin Liao
Phys. Rev. Applied 24, 064028 (2025) - Published 8 December, 2025
Wenhao Luo, Yue Chang, Yanhua Wang, and Renfu Yang
Phys. Rev. Applied 24, 064029 (2025) - Published 8 December, 2025
Tong-Yu Cao, Rong Wang, Ming-Shi Cheng, Jing-Jing Liu, Bin Liang, and Jian-Chun Cheng
Phys. Rev. Applied 24, 064030 (2025) - Published 9 December, 2025
Sagar Sehrawat, Klas Lindfors, and Andriy Shevchenko
Phys. Rev. Applied 24, 064031 (2025) - Published 9 December, 2025
Abhisek Mishra, Pritam Das, Rupalipriyadarsini Chhatoi, Soubhagya Dash, Shubhransu Sahoo, Kshitij Singh Rathore, Pil-Ryung Cha, Seung-Cheol Lee, Satadeep Bhattacharjee, and Subhankar Bedanta
Phys. Rev. Applied 24, 064032 (2025) - Published 9 December, 2025
Lili Zhang, Peng Jin, Jinrong Liu, Jun Wang, Liujun Xu, Jiping Huang, and Fubao Yang
Phys. Rev. Applied 24, 064033 (2025) - Published 10 December, 2025
Wenbo Li, Skriptyan Syuhri, Pablo Tarazaga, and Raj Kumar Pal
Phys. Rev. Applied 24, 064034 (2025) - Published 10 December, 2025
Alexandros Gerakis, Junhwi Bak, Robert Randolph, and Mikhail N. Shneider
Phys. Rev. Applied 24, 064035 (2025) - Published 10 December, 2025
Andrei V. Azovtsev and Nikolay A. Pertsev
Phys. Rev. Applied 24, 064036 (2025) - Published 10 December, 2025
Sebastian Zeilinger, Johannes Güttinger, Armin Satz, Klemens Prügl, Michael Kirsch, Joshua M. Salazar-Mejía, Sabri Koraltan, Philip Heinrich, Bernd Aichner, Florian Bruckner, Sophie Zeilinger, Hubert Brückl, and Dieter Suess
Phys. Rev. Applied 24, 064037 (2025) - Published 11 December, 2025
Kuldeep Ray, Jérémie Vigier, Perrine Usé, Sylvain Martin, Nicolas Lefoulon, Chloé Bouard, Marc Drouard, and Gilles Gaudin
Phys. Rev. Applied 24, 064038 (2025) - Published 11 December, 2025
Marc Cheneau, Romaric Journet, Matthieu Boffety, François Goudail, Caroline Kulcsár, and Pauline Trouvé-Peloux
Phys. Rev. Applied 24, 064039 (2025) - Published 11 December, 2025
Optical detection of atoms or molecules in microtrap arrays is one of the enabling techniques for quantum simulation and computation. In many settings the individual traps are not optically resolved, and detection accuracy depends crucially on an image-processing algorithm. This study introduces an optimal method, rooted in estimation theory, that can drastically improve detection accuracy compared to familiar algorithms. It also provides a rigorous definition for the signal-to-noise ratio of the problem, which can be used to define the practical conditions under which accurate detection is possible, and to rationalize the design of future experiments in affected fields.
L. Christienne, J. Jiménez-Bustamante, P. Rovillain, M. Eddrief, Y. Zheng, F. Fortuna, M. Marangolo, M. Madami, R.A. Gallardo, P. Landeros, and S. Tacchi
Phys. Rev. Applied 24, 064040 (2025) - Published 12 December, 2025
Yuhao Zhang, Qian Wang, Junye Yang, Cheng'er Wang, Yufeng Tong, Xilei Sun, Jie Chen, and Yuntao Wu
Phys. Rev. Applied 24, 064041 (2025) - Published 12 December, 2025
Steve Young, Mitchell Brickson, Jason R. Petta, and N. Tobias Jacobson
Phys. Rev. Applied 24, 064042 (2025) - Published 15 December, 2025
Jinyi Pan, Chongyu Li, HaiBo Geng, Yizhou Ni, Chao Wu, Hao Wu, Shunli Wang, Fengmin Wu, and Daoyou Guo
Phys. Rev. Applied 24, 064043 (2025) - Published 15 December, 2025
Mohamed A. Mousa, Utkarsh Singh, Leif Bauer, Angshuman Deka, and Zubin Jacob
Phys. Rev. Applied 24, 064044 (2025) - Published 16 December, 2025
Nathan Johnson, Gento Yamahata, and Akira Fujiwara
Phys. Rev. Applied 24, 064045 (2025) - Published 17 December, 2025
Marcel Mittenbühler, Lukas Sturm, Malte Schlosser, and Gerhard Birkl
Phys. Rev. Applied 24, 064046 (2025) - Published 17 December, 2025
Cutting-edge methods for spatiotemporal control of laser beams deliver impact in many disciplines, from quantum technology and advanced manufacturing to photonics and biology. Innovation requires light fields exhibiting scalable two-dimensional (2D) parallelization, full inividual control, and fast reaction to changing external parameters with low latency. The authors present a model-based control system fulfilling those requirements: reactive, real-time 2D multibeam laser patterning and scanning with strict intensity matching. A timely case study generates large-scale 2D architectures of random-access quantum memories of atomic qubits.
Faiyaz Elahi Mullick, Supriyo Bandyopadhyay, Rob Baxter, Tony J. Ragucci, and Avik W. Ghosh
Phys. Rev. Applied 24, 064047 (2025) - Published 17 December, 2025
Modern neural networks require enormous server infrastructure, as parameter count and memory demands grow with data richness. In contrast, biological brains learn and process information using limited memory and power through extensive reuse of neural representations, encoding shared features across related concepts (such as horses and zebras) while adding only a small number of synaptic connections to capture variations. This study implements a mathematical model of the neocortex that economizes on neuronal usage for image classification, and proposes a magnetic hardware platform to realize key aspects of its functionality.
Anna Romanova, Vadim Rodimin, and Konstantin Katamadze
Phys. Rev. Applied 24, 064048 (2025) - Published 18 December, 2025
Optical coherence tomography is widely used in biomedical imaging and materials science, but dispersion in the sample can strongly reduce both resolution and penetration depth. Quantum optical coherence tomography (QOCT) can cancel this dispersion and double the axial resolution, yet existing implementations rely on dim sources and interference signals that are difficult to filter and stabilize. This work demonstrates a robust cross-correlation QOCT scheme based on a Michelson interferometer fed by a bright collinear entangled-photon source, which suppresses parasitic terms, improves the signal-to-noise ratio by a factor of four over standard QOCT, and preserves dispersion cancellation.
Xiechen Zheng, Jeyson Támara-Isaza, Zechuan Yin, Johannes Cremer, John W. Blanchard, Connor A. Hart, Michael Crescimanno, Paul V. Petruzzi, Matthew J. Turner, and Ronald L. Walsworth
Phys. Rev. Applied 24, 064049 (2025) - Published 18 December, 2025
Vinícius F. Dal Poggetto, Fabio Nistri, Nicola M. Pugno, Marco Miniaci, Antonio S. Gliozzi, and Federico Bosia
Phys. Rev. Applied 24, 064050 (2025) - Published 18 December, 2025
Mode conversion between longitudinal and flexural elastic waves allows the energy in hard-to-detect bulk waves to produce surface-readable bending motion, which is valuable for structural health monitoring, ultrasonic sensing, and nondestructive testing. Here most devices rely on dense resonator arrays or intricate architectures that operate in narrow frequency ranges and are hard to fabricate. This work offers a simpler route: monolithic beams of undulating profile forming a phononic crystal that is tuned to couple longitudinal and flexural behavior. Mode locking with inverted group velocities converts incident longitudinal waves into flexural waves via reflection.
Shengyong Li, Yanjin Yue, Ying Hu, Rui-Yang Gong, Qianchuan Zhao, Zhihui Peng, Hou Ian, Pengtao Song, Ze-Liang Xiang, and Jing Zhang
Phys. Rev. Applied 24, 064051 (2025) - Published 18 December, 2025
T. Yamaji, S. Masuda, Y. Kano, Y. Kawakami, A. Yamaguchi, T. Satoh, A. Morioka, Y. Igarashi, M. Shirane, and T. Yamamoto
Phys. Rev. Applied 24, 064052 (2025) - Published 19 December, 2025
Daiki Hatanaka, Motoki Asano, Megumi Kurosu, Yoshitaka Taniyasu, Hajime Okamoto, and Hiroshi Yamaguchi
Phys. Rev. Applied 24, 064053 (2025) - Published 19 December, 2025
Magnon polarons are essential for coherent control in acoustic and spintronic devices, but conventional structures based on magnetic thin films on thick piezoelectric substrates suffer from weak magnon-phonon coupling, due to poor spatial mode overlap. The authors overcome this limitation by employing a mode-matched planar magnomechanical system, with a thin piezoelectric film and a micrometer-thick magnetic layer. This configuration enables deeply distributed magnon modes and enhances magnetoelastic interactions with microwave phonons. As a result, the team observes clear formation of magnon polarons, manifested as pronounced avoided crossings in the spectra.
Lu Yin and Jun Mei
Phys. Rev. Applied 24, 064054 (2025) - Published 19 December, 2025
Pedro Carvalho, Bernd Ulmann, Wolf Singer, and Felix Effenberger
Phys. Rev. Applied 24, 064055 (2025) - Published 22 December, 2025
Pankaj Sethi, Om Prakash, Jukka-Pekka Kaikkonen, Mikael Kervinen, Elsa T. Mannila, Mário Ribeiro, Debopam Datta, Christopher W. Förbom, Jorden Senior, Renan P. Loreto, Joel Hätinen, Klaara Viisanen, Jukka I. Väyrynen, Alberto Ronzani, Antti Kemppinen, Visa Vesterinen, Mika Prunnila, and Joonas Govenius
Phys. Rev. Applied 24, 064056 (2025) - Published 22 December, 2025
Xiaoyu Wang, Chuang Wang, Mengchen Liu, Kai Li, Ruoying Wang, Jie Xu, Lining Pan, and Derang Cao
Phys. Rev. Applied 24, 064057 (2025) - Published 22 December, 2025
Vladimir L. Safonov, Derek A. Bas, Andrew Franson, Piyush J. Shah, Michael E. McConney, Michael Newburger, and Michael R. Page
Phys. Rev. Applied 24, 064058 (2025) - Published 22 December, 2025
Johnathan Kuan and Gregory D. Fuchs
Phys. Rev. Applied 24, 064059 (2025) - Published 23 December, 2025
Chuyue Peng, Joshua Ginzburg, Uri Dickman, Jacob Bair, and Matthias Kuehne
Phys. Rev. Applied 24, 064060 (2025) - Published 23 December, 2025
Takayuki Kubo
Phys. Rev. Applied 24, 064061 (2025) - Published 23 December, 2025
Victor Elhomsy, Luca Planat, David J. Niegemann, Bruna Cardoso-Paz, Ali Badreldin, Bernhard Klemt, Vivien Thiney, Renan Lethiecq, Eric Eyraud, Matthieu C. Dartiailh, Benoit Bertrand, Heimanu Niebojewski, Christopher Bäuerle, Maud Vinet, Tristan Meunier, Nicolas Roch, and Matias Urdampilleta
Phys. Rev. Applied 24, 064062 (2025) - Published 24 December, 2025
R. Moura Rodrigues, L. Grutzmacher, G. Fernandes Galli, N. Rubiano da Silva, L. Chavero, and L. Fernandes dos Santos
Phys. Rev. Applied 24, 064063 (2025) - Published 24 December, 2025
Li Li et al.
Phys. Rev. Applied 24, 064064 (2025) - Published 24 December, 2025
J. Griesmar, H. Riechert, A. Peugeot, M. Hantute, S. Annabi, Ç.Ö. Girit, G.O. Steffensen, A.L. Yeyati, E. Arrighi, L. Bretheau, and J.-D. Pillet
Phys. Rev. Applied 24, 064065 (2025) - Published 24 December, 2025
Sida Cao and Matthew R. Edwards
Phys. Rev. Applied 24, 064066 (2025) - Published 26 December, 2025
Rahul Gupta, H.Y. Yuan, and Himadri Shekhar Dhar
Phys. Rev. Applied 24, 064067 (2025) - Published 26 December, 2025
Guan-Hua Huang, Hui Tang, Shizhong Zhang, Zhongbo Yan, and Zhigang Wu
Phys. Rev. Applied 24, 064068 (2025) - Published 26 December, 2025
Kotaro Hida, Kohei Matsuura, Shu Watanabe, and Yasunobu Nakamura
Phys. Rev. Applied 24, 064069 (2025) - Published 26 December, 2025
Maria-Thaleia Passia, Yilin Zhao, Haozhe Wang, and Steven A. Cummer
Phys. Rev. Applied 24, 064070 (2025) - Published 29 December, 2025
Feng-Yu Lu, Zheng-Kai Huang, Chi Zhang, Shuang Wang, De-Yong He, Zhen-Qiang Yin, Wei Chen, Guang-Can Guo, and Zheng-Fu Han
Phys. Rev. Applied 24, 064071 (2025) - Published 29 December, 2025
V. V. Gerasimov, E. M. Novak, and A. V. Savilov
Phys. Rev. Applied 24, 064072 (2025) - Published 29 December, 2025
Shaobo Zhang, Akib Karim, Harry M. Quiney, and Muhammad Usman
Phys. Rev. Applied 24, 064073 (2025) - Published 30 December, 2025
Meibao Qin, Changyang Li, Jumin Qiu, Yihao Chen, Tingting Liu, Tianbao Yu, and Shuyuan Xiao
Phys. Rev. Applied 24, 064074 (2025) - Published 30 December, 2025
Ali Fawaz, Jeremy Bourhill, Stefania Castelletto, Hiroshi Abe, Takeshi Ohshima, Michael E. Tobar, Thomas Volz, Maxim Goryachev, and Sarath Raman Nair
Phys. Rev. Applied 24, 064075 (2025) - Published 30 December, 2025
Zhendong Chi, Eoin Dolan, Haozhe Yang, Beatriz Martín-García, Marco Gobbi, Luis E. Hueso, and Fèlix Casanova
Phys. Rev. Applied 24, 064076 (2025) - Published 31 December, 2025
Yiqian Yang, Zhixiang Li, Zhengzhong Huang, Andrew Forbes, Liangcai Cao, Keyu Xia, and Yanqing Lu
Phys. Rev. Applied 24, 064077 (2025) - Published 31 December, 2025
