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Thermal Emission of Spinning Photons from Temperature Gradients

P.Y. Chen, C. Khandekar, R. Ayash, Z. Jacob, and Y. Sivan

Phys. Rev. Applied 18, 014052 (2022) - Published 21 July, 2022

Dissipative Preparation of Generalized Bell States with the Sørensen-Mølmer Setting

P.Z. Zhao, Z. Jin, and D.M. Tong

Phys. Rev. Applied 18, 014051 (2022) - Published 21 July, 2022

Underwater Carpet Cloak for Broadband and Wide-Angle Acoustic Camouflage Based on Three-Component Metafluid

Ping Zhou, Han Jia, Yafeng Bi, Bin Liao, Yuzhen Yang, Kaiqi Yan, Jingjie Zhang, and Jun Yang

Phys. Rev. Applied 18, 014050 (2022) - Published 20 July, 2022

Mechanical Acceleration and Control of the Thermal Motion of a Magnetic Skyrmion

Yu Wang, Takayuki Kitamura, Jie Wang, Hiroyuki Hirakata, and Takahiro Shimada

Phys. Rev. Applied 18, 014049 (2022) - Published 20 July, 2022

High-Throughput Superresolved Focal Imaging Based on a Phase-Modulated Acoustic Superoscillatory Lens

Bo Zheng, Zigeng Liu, Botao Liu, Xuefeng Chen, Dongdong An, Guoxin Cao, and Shengchun Liu

Phys. Rev. Applied 18, 014048 (2022) - Published 20 July, 2022

Swap Test with Quantum Dot Charge Qubits

Y.-D. Li, N. Barraza, G. Alvarado Barrios, E. Solano, and F. Albarrán-Arriagada

Phys. Rev. Applied 18, 014047 (2022) - Published 20 July, 2022

Far-Field Subwavelength Acoustic Computational Imaging with a Single Detector

Yuan Tian, Hao Ge, Xiu-Juan Zhang, Xiang-Yuan Xu, Ming-Hui Lu, Yun Jing, and Yan-Feng Chen

Phys. Rev. Applied 18, 014046 (2022) - Published 19 July, 2022

Highly Sensitive Measurement of a Megahertz rf Electric Field with a Rydberg-Atom Sensor

Bang Liu, Li-Hua Zhang, Zong-Kai Liu, Zheng-Yuan Zhang, Zhi-Han Zhu, Wei Gao, Guang-Can Guo, Dong-Sheng Ding, and Bao-Sen Shi

Phys. Rev. Applied 18, 014045 (2022) - Published 19 July, 2022

Exploring the Bounds on the Young’s Modulus and Gravimetric Young’s Modulus

Enlai Gao, Xiaoang Yuan, Steven O. Nielsen, and Ray H. Baughman

Phys. Rev. Applied 18, 014044 (2022) - Published 19 July, 2022

Tomographic Reconstruction of the Small-Angle X-Ray Scattering Tensor with Filtered Back Projection

Jisoo Kim, Daniël M. Pelt, Matias Kagias, Marco Stampanoni, K. Joost Batenburg, and Federica Marone

Phys. Rev. Applied 18, 014043 (2022) - Published 19 July, 2022

Using an Atomically Thin Layer of Hexagonal Boron Nitride to Separate Bound Charge-Transfer Excitons at Organic Interfaces

Shanika Wanigasekara, Kushal Rijal, Fatimah Rudayni, Mohan Panth, Andrew Shultz, Judy Z. Wu, and Wai-Lun Chan

Phys. Rev. Applied 18, 014042 (2022) - Published 18 July, 2022

Although there has been extensive interest in combining organic and two-dimensional (2D) materials to produce hybrid heterostructures for optoelectronic applications (including photovoltaics), very few studies have demonstrated how such hybrid structures might outperform structures formed by either component alone. This work presents a scalable method to produce centimeter-sized organic-2D multilayer structures, and shows that the photon-to-free-carrier conversion yield is significantly enhanced when monolayer h-BN is inserted at an organic donor-acceptor interface. This result should inspire future studies on incorporating 2D materials into organic devices to improve efficiency.

Imaging Current Paths in Silicon Photovoltaic Devices with a Quantum Diamond Microscope

S.C. Scholten, G.J. Abrahams, B.C. Johnson, A.J. Healey, I.O. Robertson, D.A. Simpson, A. Stacey, S. Onoda, T. Ohshima, T.C. Kho, J. Ibarra Michel, J. Bullock, L.C.L. Hollenberg, and J.-P. Tetienne

Phys. Rev. Applied 18, 014041 (2022) - Published 18 July, 2022

Quantum diamond microscopy is emerging as a tool for magnetic current imaging (MCI) of electrical devices. Due to the optical invasiveness of the technique, it has not been extended to photovoltaic (PV) devices—until now. This study employs a stroboscopic measurement protocol that allows temporally resolved measurements of silicon PV cells, independent of stimulus. The authors capitalize on the contactless aspect of MCI to image photocurrent loops that are entirely internal to the device (e.g. under open-circuit conditions), equivalent to shunt-resistance paths. The versatile capabilities of quantum diamond microscopy may find wide application in this further context.

Demonstration of Decentralized Physics-Driven Learning

Sam Dillavou, Menachem Stern, Andrea J. Liu, and Douglas J. Durian

Phys. Rev. Applied 18, 014040 (2022) - Published 18 July, 2022

Leveraging physical processes rather than a central processor is key to building machine learning systems that are massively scalable, robust to damage, and energy-efficient, like the brain. To achieve these features, the authors build an electrical network made of identical resistive edges that self-adjust based on local conditions in order to minimize an energy-based global cost function when shown training examples. Problems like regression and data classification are successfully solved by this network. Due to their energy efficiency and scaling advantages, future versions may one day compete with computational neural networks.

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions

Jonathan M. Goodwill, Nitin Prasad, Brian D. Hoskins, Matthew W. Daniels, Advait Madhavan, Lei Wan, Tiffany S. Santos, Michael Tran, Jordan A. Katine, Patrick M. Braganca, Mark D. Stiles, and Jabez J. McClelland

Phys. Rev. Applied 18, 014039 (2022) - Published 18 July, 2022

Hardware neural networks based on synaptic devices can provide the speed, parallelism, and low energy consumption needed for applications in distributed computing and the Internet of Things. However, the accuracy of inference in a given system can be severely impacted by device variations and other imperfections. In this work, the authors demonstrate that a binary neural network using a passive crossbar array of magnetic tunnel junctions can perform well on a simple wine identification dataset. This work demonstrates the promise of these devices but cautions that careful consideration of hardware realities in scaling up this technology is necessary for real-world applications.

Functional Acoustic Metamaterial Using Shortcut to Adiabatic Passage in Acoustic Waveguide Couplers

Shuai Tang, Jin-Lei Wu, Cheng Lü, Jie Song, and Yongyuan Jiang

Phys. Rev. Applied 18, 014038 (2022) - Published 15 July, 2022

Temperature-Biased Double-Loop Josephson Flux Transducer

C. Guarcello, R. Citro, F. Giazotto, and A. Braggio

Phys. Rev. Applied 18, 014037 (2022) - Published 15 July, 2022

Miniature Biplanar Coils for Alkali-Metal-Vapor Magnetometry

Michael C. D. Tayler, Kostas Mouloudakis, Rasmus Zetter, Dominic Hunter, Vito G. Lucivero, Sven Bodenstedt, Lauri Parkkonen, and Morgan W. Mitchell

Phys. Rev. Applied 18, 014036 (2022) - Published 15 July, 2022

Coiled Phononic Crystal with Periodic Rotational Locking: Subwavelength Bragg Band Gaps

Carson L. Willey, Vincent W. Chen, David Roca, Armin Kianfar, Mahmoud I. Hussein, and Abigail T. Juhl

Phys. Rev. Applied 18, 014035 (2022) - Published 15 July, 2022

Equiaxed Polycrystalline Ice for Ultrasonic Testing of Solids

Francesco Simonetti and Michael D. Uchic

Phys. Rev. Applied 18, 014034 (2022) - Published 14 July, 2022

Rydberg Microwave-Frequency-Comb Spectrometer

Li-Hua Zhang, Zong-Kai Liu, Bang Liu, Zheng-Yuan Zhang, Guang-Can Guo, Dong-Sheng Ding, and Bao-Sen Shi

Phys. Rev. Applied 18, 014033 (2022) - Published 14 July, 2022

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