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Capacitive and Inductive Effects in Perovskite Solar Cells: The Different Roles of Ionic Current and Ionic Charge Accumulation

Nicolae Filipoiu, Amanda Teodora Preda, Dragos-Victor Anghel, Roxana Patru, Rachel Elizabeth Brophy, Movaffaq Kateb, Cristina Besleaga, Andrei Gabriel Tomulescu, Ioana Pintilie, Andrei Manolescu, and George Alexandru Nemnes

Phys. Rev. Applied 18, 064087 (2022) - Published 28 December, 2022

Electric-Field-Tunable Spin Polarization and Carrier-Transport Anisotropy in an A-Type Antiferromagnetic van der Waals Bilayer

Wen Dang, Mengyu Zhu, Ziye Zhu, Xiaofang Chen, Zhigang Song, and Jingshan Qi

Phys. Rev. Applied 18, 064086 (2022) - Published 28 December, 2022

Generation and Modulation of a Two-Dimensional Airy Beam Based on a Holographic Tensor Metasurface

Song Zhang, Hao Xue, Shihao Zhao, Jiaqi Han, Long Li, and Tie Jun Cui

Phys. Rev. Applied 18, 064085 (2022) - Published 28 December, 2022

Anderson-Higgs Mass of Magnons in Superconductor-Ferromagnet-Superconductor Systems

Mikhail Silaev

Phys. Rev. Applied 18, L061004 (2022) - Published 27 December, 2022

The dynamic interplay of superconductivity and magnetism is promising for developing quantum magnonics and spintronics. Recent experiments have reported significant, enigmatic shifts of ferromagnetic resonance frequency in layered SFS structures. The author explains that the origin of this effect is spontaneous generation of magnon mass due to the celebrated Anderson-Higgs mechanism, a cornerstone of the Standard Model of particle physics. Upon cooling below the superconducting critical temperature, the magnons acquire a frequency gap and change their propagation direction. This effect enables the creation of magnon resonators, crystals, parametric amplifiers, and other useful devices.

Retention Model and Express Retention Test of Ferroelectric HfO2-Based Memory

Vitalii Mikheev, Ekaterina Kondratyuk, and Anastasia Chouprik

Phys. Rev. Applied 18, 064084 (2022) - Published 27 December, 2022

Multivalley Electron Conduction at the Indirect-Direct Crossover Point in Highly Tensile-Strained Germanium

M.B. Clavel, F. Murphy-Armando, Y. Xie, K.T. Henry, M. Kuhn, R.J. Bodnar, G.A. Khodaparast, D. Smirnov, J.J. Heremans, and M.K. Hudait

Phys. Rev. Applied 18, 064083 (2022) - Published 27 December, 2022

For applications such as low-power tunneling transistors and memory, lasers, qubits, and spintronics, there is interest in using strain to enhance carrier mobility in semiconductors. This experimental and theoretical study investigates transport in highly strained germanium, in which multivalley electron conduction emerges. Surprisingly, all conduction occurs via the L valley in Ge for biaxial tensile strain below 1.6%, while above the contribution from the Γ valley increases, with negligible contributions from the underlying strain template.

Optimal Control of a Cavity-Mediated iSWAP Gate between Silicon Spin Qubits

Steve M. Young, N. Tobias Jacobson, and Jason R. Petta

Phys. Rev. Applied 18, 064082 (2022) - Published 27 December, 2022

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

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