Recent Articles

Fracturing in Wet Granular Media Illuminated by Photoporomechanics

Yue Meng, Wei Li, and Ruben Juanes

Phys. Rev. Applied 18, 064081 (2022) - Published 27 December, 2022

Unraveling the complex behavior of wet granular media has been challenging, because the effective stresses transmitted through the particles have remained unobservable. The authors use their recently developed extension of photoelasticity for coupled fluid-granular systems to image particle stresses during fracture by air injection in an oil-saturated granular pack. They discover two states of the granular medium evolving with the fractures, plus an “effective-stress shadow” behind the propagating fracture tips. This study points out the power of photoporomechanics for studying coupled fluid-solid processes in granular media, including energy recovery, gas venting, and geohazards.

Incoherent Active Convolved Illumination Enhances the Signal-to-Noise Ratio for Shot Noise: Experimental Evidence

Wyatt Adams, Anindya Ghoshroy, and Durdu Ö. Güney

Phys. Rev. Applied 18, 064080 (2022) - Published 26 December, 2022

Imaginary-Disorder-Induced Topological Phase Transitions

Qingyang Mo, Yeyang Sun, Junkai Li, Zhichao Ruan, and Zhaoju Yang

Phys. Rev. Applied 18, 064079 (2022) - Published 26 December, 2022

Determination of the Complex-Valued Elastic Moduli of Polymers by Electrical-Impedance Spectroscopy for Ultrasound Applications

William N. Bodé, Fabian Lickert, Per Augustsson, and Henrik Bruus

Phys. Rev. Applied 18, 064078 (2022) - Published 26 December, 2022

Flows in Straws: Viscous Flows in One-Dimensional Metamaterial

Peter Breitman, Michael Pukshansky, Anna Zigelman, Ezra Ben Abu, Ofek Peretz, Sefi Givli, and Amir D. Gat

Phys. Rev. Applied 18, 064077 (2022) - Published 26 December, 2022

The authors study the interaction between a viscous flow and a one-dimensional mechanical metamaterial composed of bistable unit cells, much like a drinking straw. Their twofold model shows excellent agreement with experimental results. While prior studies have focused on tailoring unit-cell structure to obtain a desired multistable behavior, here the viscous fluid allows tuning of rate-dependent properties and nonlocal interaction between unit cells. The ability to manipulate both structural and nonlocal rate-related properties points to the development of smart materials with tunable kinetic relations, large reversible deformations, and tailored dynamic properties.

Untrained Physically Informed Neural Network for Image Reconstruction of Magnetic Field Sources

A.E.E. Dubois, D.A. Broadway, A. Stark, M.A. Tschudin, A.J. Healey, S.D. Huber, J.-P. Tetienne, E. Greplova, and P. Maletinsky

Phys. Rev. Applied 18, 064076 (2022) - Published 26 December, 2022

Magnetic materials are a vital resource in designing energy-efficient information technologies. To try to learn how magnetism develops in ultrathin systems, we measure, but deducing the physics afterward is an ill-posed problem. This study uses neural networks to facilitate the reconstruction of the underlying magnetic textures of thin magnets through measurements of their stray fields. The technique is surprisingly robust to experimental noise, and can reliably reconstruct magnetism in arbitrary directions. Importantly, prior training of the network is not required, and the technique is broadly applicable for solving ill-posed inverse problems when the forward problem is well defined.

Holographic Optimization Method of Acoustic Radiation Force for Continuously Manipulating a Mie Particle through a Fluid

Jianqing Li, Pengyu Zhao, and Yongmao Pei

Phys. Rev. Applied 18, 064075 (2022) - Published 23 December, 2022

Machine-Learning-Assisted Manipulation and Readout of Molecular Spin Qubits

Claudio Bonizzoni, Mirco Tincani, Fabio Santanni, and Marco Affronte

Phys. Rev. Applied 18, 064074 (2022) - Published 23 December, 2022

Birefringence of Single Polarization for Flexural-Wave Metamaterials

Yan Meng, Yiran Hao, Liyou Luo, and Jensen Li

Phys. Rev. Applied 18, 064073 (2022) - Published 23 December, 2022

Current-Induced Nucleation and Motion of Skyrmions in Zero Magnetic Field

Sougata Mallick, Sujit Panigrahy, Gajanan Pradhan, and Stanislas Rohart

Phys. Rev. Applied 18, 064072 (2022) - Published 23 December, 2022

Electron Spin Transport in a Metal-Oxide-Semiconductor Si Two-Dimensional Inversion Channel: Effect of Hydrogen Annealing on Spin-Scattering Mechanism and Spin Lifetime

Shoichi Sato, Masaaki Tanaka, and Ryosho Nakane

Phys. Rev. Applied 18, 064071 (2022) - Published 23 December, 2022

Optimizing the Cavity-Arm Ratio of V-Shaped Semiconductor Disk Lasers

Stefan Meinecke and Kathy Lüdge

Phys. Rev. Applied 18, 064070 (2022) - Published 22 December, 2022

Temporal Self-Compression and Self-Frequency Shift of Submicrojoule Pulses at a Repetition Rate of 8 MHz

Francesco Tani, Jacob Lampen, Martin Butryn, Michael H. Frosz, Jie Jiang, Martin E. Fermann, and Philip St.J. Russell

Phys. Rev. Applied 18, 064069 (2022) - Published 22 December, 2022

Measurement of Nanometric Heights by Modal Decomposition

Valeria Rodríguez-Fajardo and Andrew Forbes

Phys. Rev. Applied 18, 064068 (2022) - Published 22 December, 2022

Thermoelectric Figure of Merit of a Superatomic Crystal Re6Se8I2 Monolayer

Tingwei Li, Peng-Hu Du, Ling Bai, Qiang Sun, and Puru Jena

Phys. Rev. Applied 18, 064067 (2022) - Published 22 December, 2022

Electromagnetic Nonreciprocity in a Magnetized Plasma Circulator

Feng Li, Robert J. Davis, Sara M. Kandil, and Daniel F. Sievenpiper

Phys. Rev. Applied 18, 064066 (2022) - Published 22 December, 2022

Deterministic Generation of Entangled Photonic Cluster States from Quantum Dot Molecules

Arian Vezvaee, Paul Hilaire, Matthew F. Doty, and Sophia E. Economou

Phys. Rev. Applied 18, L061003 (2022) - Published 21 December, 2022

While multiphoton entangled states are the essential building blocks of quantum photonic technologies, large-scale production of such states has proven to be difficult. This study utilizes the unique structure of hole spins in quantum dot molecules to propose an approach that overcomes many of the existing obstacles in the deterministic generation of such states. With high fidelity and production rates that are unmatched among currently available protocols, this proposal seems quite promising as a basis for tomorrow’s optical quantum communication hardware.

Magnetic Imaging with Spin Defects in Hexagonal Boron Nitride

P. Kumar, F. Fabre, A. Durand, T. Clua-Provost, J. Li, J.H. Edgar, N. Rougemaille, J. Coraux, X. Marie, P. Renucci, C. Robert, I. Robert-Philip, B. Gil, G. Cassabois, A. Finco, and V. Jacques

Phys. Rev. Applied 18, L061002 (2022) - Published 21 December, 2022

This work bridges research on two-dimensional (2D) materials and quantum sensing technology by demonstrating that optically active spin defects in hexagonal boron nitride can be used for quantitative magnetic field imaging. As proof of concept, the authors image the magnetic field produced by CrTe2, a room-temperature van der Waals ferromagnet. This h-BN-based magnetic sensor offers high flexibility and the ability to be placed in atomic-scale proximity to a target sample, and thus is expected to find numerous applications in 2D materials research by offering a simple means to probe in situ the physics of van der Waals heterostructures.

Elastic Metasurface with Dual-Coupled Resonators for Highly Efficient Energy Harvesting

Tian Yang, Zibin Lin, Xuefeng Zhu, and Tianzhi Yang

Phys. Rev. Applied 18, 064065 (2022) - Published 21 December, 2022

Broadband Acoustic Metaveils for Configurable Camouflage

Jinjie Shi, Chenkai Liu, Chang Guo, Hongchen Chu, Xiaozhou Liu, Johan Christensen, and Yun Lai

Phys. Rev. Applied 18, 064064 (2022) - Published 21 December, 2022

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