Recent Articles

Particle size scaling of non-Gaussian granular charge distributions

Macarena Lara, Marcos Flores, Gustavo Castillo, Santiago Tassara, Scott R. Waitukaitis, and Nicolás Mujica

Phys. Rev. Materials 10, 045604 (2026) - Published 14 April, 2026

Identical insulating particles can exchange electric charge upon contact, a process known as triboelectric charging. This phenomenon plays key roles in natural processes such as dust storms, volcanic eruptions, and planet formation, as well as in many industrial settings. Surprisingly, charge transfer also occurs between particles of the same size and material. We measure charge distributions in large ensembles of oxide particles with carefully controlled sizes and compositions. Highly charged particles arise far more often than expected, resulting in strongly non-Gaussian distributions. Their probability increases systematically with particle size, scaling with surface area. These results place new constraints on microscopic mechanisms of triboelectric charging.

Unveiling nonlinear descriptors via hierarchical learning for single-atom catalysts

Liangliang Xu, Ning Xu, Yan Wang, Yiyan Jin, Xiaojuan Hu, Linguo Lu, Xin Tan, Zhongfang Chen, and Zhong-Kang Han

Phys. Rev. Materials 10, 045802 (2026) - Published 14 April, 2026

Epitaxial growth and electronic properties of quasi-free-standing rhombohedral WSe2 bilayers on cubic W(110)

Niels Chapuis, Meryem Bouaziz, Eva Desgué, Iann Gerber, François Bertarn, Pierre Legagneux, Fabrice Oehler, Julien Chaste, and Abdelkarim Ouerghi

Phys. Rev. Materials 10, 044003 (2026) - Published 13 April, 2026

Cryogenic growth of aluminum: Structural morphology, optical properties, superconductivity, and microwave dielectric loss

Wilson J. Yánez-Parreño, Teun A. J. van Schijndel, Anthony P. McFadden, Kaixuan Ji, Susheng Tan, Yu Wu, Sergey Frolov, Stefan Zollner, Raymond W. Simmonds, and Christopher J. Palmstrøm

Phys. Rev. Materials 10, 044801 (2026) - Published 13 April, 2026

Ab initio relaxation volumes of transition metal solutes in iron and tungsten

Andrew R. Warwick, Jacob B. J. Chapman, Duc Nguyen-Manh, Pui-Wai Ma, and Sergei L. Dudarev

Phys. Rev. Materials 10, 045402 (2026) - Published 13 April, 2026

Stabilization of hBN/SiC heterostructures with vacancies and transition-metal atoms

Arsalan Hashemi, Nima Ghafari Cherati, Sadegh Ghaderzadeh, Yanzhou Wang, Mahdi Ghorbani-Asl, and Tapio Ala-Nissila

Phys. Rev. Materials 10, 045801 (2026) - Published 13 April, 2026

Reststrahlen band and optical bandgaps in semiconducting CrN films

Duc V. Dinh, Xiang Lü, Oliver Brandt, Dilara Sen, Olivia Fairlamb, Frank Peiris, Farihatun Lima, Alexander Bordovalos, Suresh Chaulagain, Ambalanath Shan, and Nikolas J. Podraza

Phys. Rev. Materials 10, 044602 (2026) - Published 10 April, 2026

Ultrafast laser-induced anisotropic structural dynamics of five-fold twinned silver nanowires

Wentao Wang, Shuaishuai Sun, Wenli Gao, Kaixin Zhu, Huanfang Tian, Huaixin Yang, and Jianqi Li

Phys. Rev. Materials 10, 046002 (2026) - Published 10 April, 2026

Ultrafast transmission electron microscopy, a powerful tool for visualizing ultrafast structural dynamics, is harnessed here to reveal the full-cycle reversible dynamics of five-fold twinned silver nanowires across picosecond to microsecond timescales. On the picosecond timescale, a two-step process was identified: a fast electron-phonon coupling step and a slower step ascribed to hot electron decay due to trap states. Anisotropic phonon-phonon interactions, arising from the one-dimensional structure of the silver nanowires, drive energy transfer from the radial to the axial direction on the nanosecond scale. The subsequent recovery of the lattice occurs on the microsecond scale. These findings pave the way for advanced ultrafast device applications.

High-throughput screening assisted discovery of a stable two-dimensional cobalt structure

Zixuan Xie, Baoxing Zhai, Wanru Nie, Heng Zhang, Zhuo Xu, Qian Chen, Ruiqing Cheng, and Jun He

Phys. Rev. Materials 10, 044002 (2026) - Published 9 April, 2026

Unveiling thermal transport properties of defective βGa2O3 through machine learning potentials

Yang Su, Jin Yan, Meiyang Yu, Chen Shen, Yuhao Fu, Tianhang Zhou, and Lijun Zhang

Phys. Rev. Materials 10, 044601 (2026) - Published 9 April, 2026

Machine learning potentials (MLPs) have been widely used in predicting the thermal transport properties of β-Ga2O3. However, there are few reports on MLPs specifically considering complex defects in β-Ga2O3. In this study, the authors trained a deep neural network MLP model to quantify how different intrinsic point defects suppress the thermal conductivity of β-Ga2O3. These results provide atomic-level insight into thermal transport in defective β-Ga2O3, offering guidance for thermal-management strategies and establishing a general workflow for investigating thermal physics in complex semiconductor materials.

Electronic-entropy-driven solid-solid phase transitions in elemental metals

S. Azadi, S. M. Vinko, A. Principi, T. D. Kühne, and M. S. Bahramy

Phys. Rev. Materials 10, 045001 (2026) - Published 9 April, 2026

Gate-tunable ferromagnetism in Cr2Si2Te6 thin flakes

Changhong Yuan, Yutong Wang, Xu Yan, Kunya Yang, Wenxin Cheng, Yating Jiang, Qiuyan Shi, Xingyu Jiang, Xuewei Wang, Zhiyu Huang, Yuhan Jin, Beiyi Zhu, Jie Yuan, Mingquan He, Quansheng Wu, and Qihong Chen

Phys. Rev. Materials 10, L041401 (2026) - Published 9 April, 2026

Low temperature two-fluid state in SmB6

Sayantan Ghosh, Sugata Paul, Tamoghna Chattoraj, Ritesh Kumar, Zachary Fisk, and S. S. Banerjee

Phys. Rev. Materials 10, L042001 (2026) - Published 9 April, 2026

Effect of W in Cu-Zr-W thin films: Molecular dynamics simulations and experimental verification

Hassan Ataalite, Jiri Houska, Deepika Thakur, Michaela Cervena, and Petr Zeman

Phys. Rev. Materials 10, 043402 (2026) - Published 8 April, 2026

Glassy polymers' strain-hardening moduli scale with their statistical-segment volumes

Robert S. Hoy

Phys. Rev. Materials 10, 045603 (2026) - Published 8 April, 2026

Continuous transition from palladium clusters to nanocrystals simulated by machine learning potential

Ziyi Liang, Luneng Zhao, Hongsheng Liu, Junfeng Gao, and Feng Ding

Phys. Rev. Materials 10, 046001 (2026) - Published 8 April, 2026

Understanding the atomic evolution from cluster to nanocrystal has long been a challenge in nanoscience. Here, an accurate machine learning potential (MLP) of elemental Pd was developed. The large-scale capacity of this MLP affords long-time simulated annealing for a cross-scale study of Pdn nanostructures (n=12 - 21856), revealing a continuous transition from discrete clusters to bulk-like nanocrystals and the critical size at which the transition occurs. This study paves the way for studies on other clusters.

Hidden layered structures from carbon-analog metastability in metal dichalcogenides

Shota Ono

Phys. Rev. Materials 10, 044001 (2026) - Published 7 April, 2026

Low-temperature charge-density-wave transition in ordered intermetallic γU2Mo

Somesh Bhattacharya, Kumar Bharti, V. B. Jayakrishnan, Mayuri Kamble, K. Ali, Joydipta Banerjee, Amrit Prakash, A. Arya, P. D. Babu, Dipanshu Bansal, and P. S. Ghosh

Phys. Rev. Materials 10, 045401 (2026) - Published 7 April, 2026

Growth-controlled twinning and magnetic anisotropy in CeSb2

Jan T. Weber, Kristin Kliemt, Sergey L. Bud'ko, Paul C. Canfield, and Cornelius Krellner

Phys. Rev. Materials 10, 044403 (2026) - Published 6 April, 2026

Boosting Seebeck coefficient through electron-phonon interaction by phonon frequency control

Asumi Michibata, Tsukasa Terada, Kotaro Matsuzono, Takafumi Ishibe, Yuichiro Yamashita, Nobuyasu Naruse, Katsuhiro Suzuki, and Yoshiaki Nakamura

Phys. Rev. Materials 10, 043401 (2026) - Published 3 April, 2026

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