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The vastness of the space of possible multicomponent metal alloys is hoped to provide improved structural materials but also challenges traditional, low-throughput materials design efforts. Computational screening could narrow this search…

Solidification governs the microstructure and, therefore, the mechanical response of metal components, yet the atomistic details of nucleation and defect formation are often difficult to determine experimentally. Molecular dynamics can…

计算物理 · 物理学 2026-03-26 Ian Störmer , Julija Zavadlav

Using ab initio Density Functional Theory (DFT) calculations, we investigate the electronic structure, phase stability, and magnetic properties of equiatomic binary alloys between Al and 3d magnetic transition elements (Cr, Mn, Fe, Co, and…

材料科学 · 物理学 2025-10-28 Haireguli Aihemaiti , Esmat Dastanpour , Anders Bergman , Levente Vitos

As the only semimetallic $d^{10}$-based delafossite, AgNiO$_2$ has received a great deal of attention due to both its unique semimetallicity and its antiferromagnetism in the NiO$_2$ layer that is coupled with a lattice distortion. In…

The formation of ordered phases of dimethyl-disulfide on the Au(111) surface has been investigated by means of Low-Energy Electron Diffraction (LEED), X-ray Photoemission Spectroscopy (XPS), and state-of-the-art Density Functional Theory…

凝聚态物理 · 物理学 2007-05-23 V. De Renzi , D. Marchetto , R. Biagi , U. del Pennino , R. Di Felice , A. Selloni

Despite decades of study, the identity of the dominant \ce{Li+}-conducting phase within the inorganic SEI of Li-ion batteries remains unresolved. While the mosaic model describes LiF/\ce{Li2O}/\ce{Li2CO3} nanocrystallites within a…

材料科学 · 物理学 2025-12-16 Peichen Zhong , Kristin A. Persson

Next generation batteries based on lithium (Li) metal anodes have been plagued by the dendritic electrodeposition of Li metal on the anode during cycling, resulting in short circuit and capacity loss. Suppression of dendritic growth through…

This work presents a theoretical study of the electronic structure and transport properties of Ni-Au alloys, recently identified as excellent thermoelectric metals with a power factor significantly exceeding that of conventional…

材料科学 · 物理学 2025-10-21 Kacper Pryga , Bartlomiej Wiendlocha

Two-dimensional (2D) materials with multifunctional properties, such as negative Poisson's ratio (NPR), magnetism, catalysis, and energy storage capabilities, are of significant interest for advanced applications in flexible electronics,…

介观与纳米尺度物理 · 物理学 2025-01-22 Haidi Wang , Wei Lin , Weiduo Zhu , Zhao Chen , Zhongjun Li , Xiaofeng Liu

Electrolyte solutions play critical role in a vast range of important applications, yet an accurate and scalable method of predicting their properties without fitting to experiment has remained out of reach, despite over a century of…

化学物理 · 物理学 2024-11-18 Junji Zhang , Joshua Pagotto , Tim Gould , Timothy T. Duignan

The binary manganese aluminium (MnAl) alloy with L$1_0$ crystal structure is a promising rare earth element-free permanent magnetic material because of its exceptional magnetic properties. However, experimentally synthesizing it in a stable…

材料科学 · 物理学 2024-08-01 Churna Bhandari , Gavin N. Nope , T. Lograsso , Durga Paudyal

We use a recently-developed machine-learned Moment Tensor Potential (MTP) trained on data generated with the density functional theory (DFT) and tailored to amorphous silicon coupled with the Activation-Relaxation Technique nouveau (ARTn)…

材料科学 · 物理学 2026-05-07 Renaude Girard , Carl Lévesque , Normand Mousseau , François Schiettekatte

In this study, we have used density functional theory (DFT) based first-principles investigation of the physical properties of prospective NbAlB compound for the first time. From the analysis of the cohesive energy and enthalpy of…

材料科学 · 物理学 2023-05-23 Mst. Bina Aktar , F. Parvin , A. K. M. Azharul Islam , S. H. Naqib

We investigate isolated O-H and O-D pairs trapped in BCC Nb using a machine-learning interatomic potential (MLIP) trained to density-functional theory (DFT). The MLIP enables large-supercell analysis and identification of trapping sites…

其他凝聚态物理 · 物理学 2025-12-23 Abdulaziz Abogoda , J. A. Sauls

We perform a critical assessment of the accuracy of DFT-based methods in predicting stable phases within the Co-Pt binary alloy. Statistical mechanical analysis applied to zero kelvin DFT predictions yields finite-temperature results that…

材料科学 · 物理学 2015-08-13 Elizabeth Decolvenaere , Michael J. Gordon , Anton Van der Ven

The capacitance of the electric double layer has potential applications in supercapacitors, and theoretical investigations of the double-layer capacitance in binary mixtures are important. In this work, we develop the theory of the electric…

化学物理 · 物理学 2025-09-01 Yuki Uematsu

In recent years, machine learning interatomic potentials (MLIPs) have attracted significant attention as a method that enables large-scale, long-time atomistic simulations while maintaining accuracy comparable to electronic structure…

材料科学 · 物理学 2025-03-27 Yuta Yoshimoto , Naoki Matsumura , Yuto Iwasaki , Hiroshi Nakao , Yasufumi Sakai

A surprising stability of the tube-like AuN (N = 26-28) has been shown using the scalar relativistic all-electron density functional theory calculations, forming another powerful candidate for the lowest-energy AuN competing with those…

材料科学 · 物理学 2009-11-11 Wei Fa , Jinming Dong

The structural and electronic properties of ternary AlxTiyNiz clusters, where x, y, and z are integers and x + y + z = 6 are investigated. Both SVWN and B3LYP exchange-correlation functionals are employed in a two-stage density functional…

材料科学 · 物理学 2019-07-09 Pin Wai Koh , Tiem Leong Yoon , Thong Leng Lim , Yee Hui Robin Chang , Eong Sheng Goh

In this work, an assessment of the CALPHAD method trained on only density functional theory (DFT) data is performed for the Li-Si binary system, as a case study. Using a parameter sampling approach based on the Bayesian Error Estimation…

材料科学 · 物理学 2020-03-31 Ying Yuan , Gregory Houchins , Pin-Wen Guan , Venkatasubramanian Viswanathan