Recent Articles

Angular dependence of the upper critical field in the high-pressure 1T′ phase of MoTe2

Y. J. Hu, Yuk Tai Chan, Kwing To Lai, Kin On Ho, Xiaoyu Guo, Hai-Peng Sun, K. Y. Yip, Dickon H. L. Ng, Hai-Zhou Lu, and Swee K. Goh

Phys. Rev. Materials 3, 034201 (2019) - Published 25 March, 2019

3D visualizations of nanoscale phase separation and ultrafast dynamic correlation between phases in (Na0.32K0.68)0.95Fe1.75Se2

P. C. Cheng, W. Y. Tzeng, Y. J. Chu, C. W. Luo, A. A. Zhukov, J. Whittaker, J.-Y. Lin, K. H. Wu, J. Y. Juang, M. Liu, I. V. Morozov, A. I. Boltalin, and A. N. Vasiliev

Phys. Rev. Materials 3, 034802 (2019) - Published 25 March, 2019

Doping in garnet-type electrolytes: Kinetic and thermodynamic effects from molecular dynamics simulations

Matthieu Mottet, Aris Marcolongo, Teodoro Laino, and Ivano Tavernelli

Phys. Rev. Materials 3, 035403 (2019) - Published 25 March, 2019

Erratum: Phonons, magnons, and lattice thermal transport in antiferromagnetic semiconductor MnTe [Phys. Rev. Materials 3, 025403 (2019)]

Sai Mu, Raphaël P. Hermann, Stéphane Gorsse, Huaizhou Zhao, Michael E. Manley, Randy S. Fishman, and L. Lindsay

Phys. Rev. Materials 3, 039901 (2019) - Published 22 March, 2019

Anharmonicity in elastic constants and extended x-ray-absorption fine structure cumulants

Toshihiko Yokoyama and Suwilai Chaveanghong

Phys. Rev. Materials 3, 033607 (2019) - Published 21 March, 2019

Influence of an amorphous surface layer on the mechanical properties of metallic nanoparticles under compression

Alexandra M. Goryaeva, Claudio Fusco, Matthieu Bugnet, and Jonathan Amodeo

Phys. Rev. Materials 3, 033606 (2019) - Published 20 March, 2019

Cu2MSiO5 (M=Co,Ni): A new silicate material with chains of Cu and M ions

S. W. Lee, H. Guo, L. Zhao, Z. Hu, T. Mueller, H. J. Lin, C. T. Chen, G. Ryu, L. H. Tjeng, and A. C. Komarek

Phys. Rev. Materials 3, 034408 (2019) - Published 20 March, 2019

Controlling interface structure in nanoglasses produced through hydrostatic compression of amorphous nanoparticles

Bin Cheng and Jason R. Trelewicz

Phys. Rev. Materials 3, 035602 (2019) - Published 20 March, 2019

Basal-plane growth of cadmium arsenide by molecular beam epitaxy

David A. Kealhofer, Honggyu Kim, Timo Schumann, Manik Goyal, Luca Galletti, and Susanne Stemmer

Phys. Rev. Materials 3, 031201(R) (2019) - Published 19 March, 2019

The (001) plane of cadmium arsenide is unique in that the two bulk Dirac nodes project onto the same point in the surface Brillouin zone. Until now, the study of surface states in cadmium arsenide has been limited largely to the (112) plane, the natural cleavage plane. This Rapid Communication describes a technique for growing high-quality (001)-oriented cadmium arsenide films in which growth is promoted by the introduction of a thin wetting layer. This approach enables future studies of the topological phases that are accessible to (001) thin films.

Variable chemical decoration of extended defects in Cu-poor Cu2ZnSnSe4 thin films

Torsten Schwarz, Alex Redinger, Susanne Siebentritt, Zirong Peng, Baptiste Gault, Dierk Raabe, and Pyuck-Pa Choi

Phys. Rev. Materials 3, 035402 (2019) - Published 19 March, 2019

In this atom probe tomography study of the composition of extended defects in Cu-poor Cu2ZnSnSe4 thin films, the authors detect Na segregation, Cu enrichment, and Zn, Sn, and Se depletion at grain boundaries in a precursor film. Stacking faults show Zn enrichment and Cu and Sn depletion in the same precursor. After an annealing step, the authors observe that the Na excess at grain boundaries is increased by one order of magnitude and that grain boundaries and dislocations in the annealed film exhibit, in general, significantly reduced chemical variations.

Structural transformation in GexS100−x (10≤x≤40) network glasses: Structural varieties in short-range, medium-range, and nanoscopic scale

Y. Sakaguchi, T. Hanashima, K. Ohara, Al-Amin A. Simon, and M. Mitkova

Phys. Rev. Materials 3, 035601 (2019) - Published 19 March, 2019

First-principles calculations of solute transport in zirconium: Vacancy-mediated diffusion with metastable states and interstitial diffusion

Abhinav C. P. Jain, Patrick A. Burr, and Dallas R. Trinkle

Phys. Rev. Materials 3, 033402 (2019) - Published 18 March, 2019

Polar-charge-induced self-assembly: Electric effect that causes nonisotropic nanorod growth in wurtzite semiconductors

Yury Turkulets and Ilan Shalish

Phys. Rev. Materials 3, 033403 (2019) - Published 18 March, 2019

Phase separation and surface segregation in Co–Au–SrTiO3 thin films: Self-assembly of bilayered epitaxial nanocolumnar composites

M. Hennes, X. Weng, E. Fonda, B. Gallas, G. Patriarche, D. Demaille, Y. Zheng, and F. Vidal

Phys. Rev. Materials 3, 035002 (2019) - Published 18 March, 2019

Multiscale influence of trace Tb addition on the magnetostriction and ductility of 〈100〉 oriented directionally solidified Fe-Ga crystals

Yuye Wu, Yijun Chen, Chongzheng Meng, Hui Wang, Xiaoqin Ke, Jingmin Wang, Jinghua Liu, Tianli Zhang, Ronghai Yu, J. M. D. Coey, Chengbao Jiang, and Huibin Xu

Phys. Rev. Materials 3, 033401 (2019) - Published 15 March, 2019

Enabling visible-light absorption and p-type doping in In2O3 by adding Bi

Fernando P. Sabino, Su-Huai Wei, and Anderson Janotti

Phys. Rev. Materials 3, 034605 (2019) - Published 15 March, 2019

Density functional study of self-diffusion along an isolated screw dislocation in fcc Ni

Luke J. Wirth, Amir A. Farajian, and Christopher Woodward

Phys. Rev. Materials 3, 033605 (2019) - Published 14 March, 2019

Definition of a scoring parameter to identify low-dimensional materials components

Peter Mahler Larsen, Mohnish Pandey, Mikkel Strange, and Karsten Wedel Jacobsen

Phys. Rev. Materials 3, 034003 (2019) - Published 14 March, 2019

Incipient ferroelectricity: A route towards bulk-terminated SrTiO3

Igor Sokolović, Michael Schmid, Ulrike Diebold, and Martin Setvin

Phys. Rev. Materials 3, 034407 (2019) - Published 14 March, 2019

Classification of local chemical environments from x-ray absorption spectra using supervised machine learning

Matthew R. Carbone, Shinjae Yoo, Mehmet Topsakal, and Deyu Lu

Phys. Rev. Materials 3, 033604 (2019) - Published 13 March, 2019

X-ray absorption near-edge structure (XANES) spectroscopy is a robust and element-specific tool for probing the atomic structure of materials. Traditional spectroscopy methods work in the forward direction by simulating XANES spectra from atomic models. Here, the authors present the opposite: a computational method predicting local structural geometry from XANES spectra in which the so-called inverse problem is solved using supervised machine learning. The robustness and fidelity of the method are demonstrated by an average of 86% classification accuracy in the K-edge XANES spectra of hundreds of materials across eight 3d transition metal families.

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