Recent Articles

Microstructure and magnetization evolution in bcc iron via direct first-principles predictions of radiation effects

Ebrahim Mansouri and Pär Olsson

Phys. Rev. Materials 7, 123604 (2023) - Published 21 December, 2023

Machine-learned search for the stable structures of silicene on Ag(111)

Yuji Hamamoto, Thanh Ngoc Pham, Malthe K. Bisbo, Bjørk Hammer, and Yoshitada Morikawa

Phys. Rev. Materials 7, 124002 (2023) - Published 21 December, 2023

Floating of the topological surface state on top of a thick lead layer: The case of the Pb/Bi2Se3 interface

Oreste De Luca, Igor A. Shvets, Sergey V. Eremeev, Ziya S. Aliev, Marek Kopciuszynski, Alexey Barinov, Fabio Ronci, Stefano Colonna, Evgueni V. Chulkov, Raffaele G. Agostino, Marco Papagno, and Roberto Flammini

Phys. Rev. Materials 7, 124203 (2023) - Published 21 December, 2023

Neural-network force field backed nested sampling: Study of the silicon p−T phase diagram

Nico Unglert, Jesús Carrete, Livia B. Pártay, and Georg K. H. Madsen

Phys. Rev. Materials 7, 123804 (2023) - Published 20 December, 2023

Phase diagrams map out the thermodynamically stable conditions for different phases. Their predictive atomistic simulations demands integration of statistical mechanics and quantum mechanics, making computational cost a challenge. Our work successfully combines a neural-network model for silicon’s potential energy with nested-sampling to predict its low-pressure phase diagram accurately. Trained on diverse silicon structures, the model aligns remarkably well with experiments, accurately reproducing the melting line and identifying stable structures. The fusion of neural networks and nested sampling opens the door to not only predict phase diagrams but also assess the accuracy of the underlying exchange-correlation functionals.

Effect of multilayering and crystal orientation on spin-orbit torque efficiency in Ni/Pt layer stacking

A. Sud, Y.-C. Lau, J. Brierley, H. Kurebayashi, and T. Seki

Phys. Rev. Materials 7, 124410 (2023) - Published 20 December, 2023

Extreme enhancement of nonreciprocal wave propagation in magneto-optical metamaterials

Markus Tyboroski, Rair Macêdo, and Robert E. Camley

Phys. Rev. Materials 7, 125201 (2023) - Published 20 December, 2023

Local atomic structures and lattice dynamics of inverse colossal barocaloric ammonium thiocyanate

Zhe Zhang, Wu Gong, Xueting Zhao, Ji Qi, Mingze Li, Shuki Torii, Huaican Chen, Wen Yin, Koji Ohara, Zhidong Zhang, Yukinobu Kawakita, and Bing Li

Phys. Rev. Materials 7, 125402 (2023) - Published 20 December, 2023

Metal-organic-framework transparency to water interactions for enhanced CO2 adsorption

Aziz Ghoufi

Phys. Rev. Materials 7, 126001 (2023) - Published 20 December, 2023

Angular dependence of the interlayer coupling at the interface between two-dimensional materials 1T−PtSe2 and graphene

P. Mallet, F. Ibrahim, K. Abdukayumov, A. Marty, C. Vergnaud, F. Bonell, M. Chshiev, M. Jamet, and J-Y. Veuillen

Phys. Rev. Materials 7, L121001 (2023) - Published 20 December, 2023

Revealing complex spin states in GdNiAl4Ge2

Keke Feng, Jorge R. Galeano Cabral, Kaya Wei, and Ryan Baumbach

Phys. Rev. Materials 7, 124409 (2023) - Published 19 December, 2023

Effect of heat treatment paths on the aging and rejuvenation of metallic glasses

Suyue Yuan, Aoyan Liang, Chang Liu, Liang Tian, Normand Mousseau, and Paulo S. Branicio

Phys. Rev. Materials 7, 123603 (2023) - Published 18 December, 2023

Effect of Mn substitution on the electronic structure for Mn-doped indium-tin oxide films studied by soft and hard x-ray photoemission spectroscopy

Daiki Ootsuki, Tatsuhiro Ishida, Naoya Tsutsumi, Masaki Kobayashi, Kohdai Inagaki, Teppei Yoshida, Yukiharu Takeda, Shin-ichi Fujimori, Akira Yasui, Saiki Kitagawa, and Toshihiro Nakamura

Phys. Rev. Materials 7, 124601 (2023) - Published 18 December, 2023

Magnetic anisotropy and two-dimensional short-range chemical ordering in Ba1−xNaxFe2As2

Ryan Stadel, Ryan DeRose, Keith M. Taddei, Matthew J. Krogstad, Puspa Upreti, Zahir Islam, Daniel Phelan, Duck Young Chung, Raymond Osborn, Stephan Rosenkranz, and Omar Chmaissem

Phys. Rev. Materials 7, 124802 (2023) - Published 18 December, 2023

Erratum: First-principles simulations of Li boracites Li4B7O12Cl and Li5B7O12.5Cl [Phys. Rev. Materials 6, 025401 (2022)]

Yan Li and N. A. W. Holzwarth

Phys. Rev. Materials 7, 129901 (2023) - Published 18 December, 2023

Morphological instability and mobility of the color front during the electrocoloration of perovskite oxide thin films

Heung-Sik Park, Ji Soo Lim, Jeonghun Suh, and Chan-Ho Yang

Phys. Rev. Materials 7, 123401 (2023) - Published 15 December, 2023

Structural properties of epitaxial α-U thin films on Ti, Zr, W and Nb

R. Nicholls, D. A. Chaney, G. H. Lander, R. Springell, and C. Bell

Phys. Rev. Materials 7, 123602 (2023) - Published 15 December, 2023

Interfacial spin structures in Pt/Tb3Fe5O12 bilayer films on Gd3Ga5O12 substrates

Roshni Yadav, Abdulhakim Bake, Wai Tung Lee, Yu-Kuai Liu, David R. G. Mitchell, Xin-Ren Yang, David L. Cortie, Ko-Wei Lin, and Chi Wah Leung

Phys. Rev. Materials 7, 124407 (2023) - Published 15 December, 2023

Magnetic order in the two-dimensional metal-organic framework manganese pyrazinecarboxylate with Mn-Mn dimers

S. Calder, R. Baral, N. Narayanan, and L. D. Sanjeewa

Phys. Rev. Materials 7, 124408 (2023) - Published 15 December, 2023

Guidelines for superlattice engineering with giant molecules: The pivotal role of mesoatoms

Xiao-Yun Yan, Yuchu Liu, Xian-You Liu, Huanyu Lei, Xing-Han Li, Yicong Wang, Weiyi Li, Qing-Yun Guo, Mingjun Huang, and Stephen Z. D. Cheng

Phys. Rev. Materials 7, 120302 (2023) - Published 14 December, 2023

Mesoatoms, micelle-like supramolecular clusters, play a crucial role as intermediate building blocks in the formation of self-assembled superlattices. This Research Update highlights giant molecules (GMs) for their precision at the molecular level, enabling a focused examination of mesoatomic characteristics. It systematically explores practical guidelines in molecular design, with the goal of achieving controlled fabrication of molecule-based superlattices. The categorization of phases based on structural features, ranging from simple spherical packing to quasicrystalline and crystalline arrangements, allows the unraveling of tunable mesoatomic traits like individual size, size difference, stoichiometry, and shape distributions. These traits emerge as pivotal considerations in the strategic design of spherical superlattice phases.

Two-dimensional Dirac semimetal based on the alkaline earth metal CaP3

Seoung-Hun Kang, Wei Luo, Sinchul Yeom, Yaling Zheng, and Mina Yoon

Phys. Rev. Materials 7, 124202 (2023) - Published 14 December, 2023

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