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We study the weak finite element method solving convection-diffusion equations. A weak finite element scheme is presented based on a spacial variational form. We established a weak embedding inequality that is very useful in the weak finite…

Numerical Analysis · Mathematics 2015-06-10 Tie Zhang , Yanli Chen

Characterization of medium-range order in amorphous materials and its relation to short-range order is discussed. A new topological approach is presented here to extract a hierarchical structure of amorphous materials, which is robust…

Soft Condensed Matter · Physics 2015-02-27 Takenobu Nakamura , Yasuaki Hiraoka , Akihiko Hirata , Emerson G. Escolar , Yasumasa Nishiura

Large area nickel antidot arrays with density up to 10^10 /cm^2 have been fabricated by depositing nickel onto anodic aluminum oxide membranes that contain lattices of nanopores. Electron microscopy images show a high degree of order of the…

Nitrogen (N) is a key alloying element that enhances the performance of Fe-Ni-Cr austenitic stainless steels, improving austenite stability, corrosion resistance, and yield strength. However, the role of N in modifying chemical ordering,…

Materials Science · Physics 2025-07-08 Tianyu Su , Brian J. Blankenau , Namhoon Kim , Jessica A. Krogstad , Elif Ertekin

Long range magnetic ordering in the quasi-one-dimensional random-bond antiferromagnet BaCu$_2$(Si$_{1-x}$Ge$_{x}$)$_2$O$_7$ is studied in $\mu$SR experiments as a function of disorder strength. Compared to the disorder-free parent…

Strongly Correlated Electrons · Physics 2014-12-04 M. Thede , T. Haku , T. Masuda , C. Baines , E. Pomjakushina , G. Dhalenne , A. Revcolevschi , E. Morenzoni , A. Zheludev

The equilibrium vacancy concentration in multi-principal element alloys remains a controversial and nontrivial subject, primarily because of chemical complexity and chemical short-range order (CSRO). Here we derive an exact expression that…

Materials Science · Physics 2025-12-30 Hao Tang , Hoje Chun , Rafael Gomez-Bombarelli , Yuri Mishin , Ju Li

Ni-based superalloys have been the subject of enormous usage in scenarios where the loading is heavy and often occurs at elevated temperatures. The strengthening mechanisms that come into play within the metallic lattice have been studied…

Computational Physics · Physics 2017-07-17 Anand Krishna Kanjarla , Gautham Muthusamy , Aditya Venkatraman

We develop a percolation model for face centered cubic binary alloys with chemical short-range order (SRO) to account for chemical ordering/clustering that occurs in nominally random solid solutions. We employ a lattice generation scheme…

Materials Science · Physics 2024-08-28 Abhinav Roy , Karl Sieradzki , James M. Rondinelli , Ian D. McCue

Multi-principle element alloys have enormous potential, but their exploration suffers from the tremendously large range of configurations. In the last decade such alloys have been designed with a focus on random solid solutions. Here we…

Materials Science · Physics 2017-02-15 Lukasz Rogal , Piotr Bobrowski , Fritz Koermann , Sergiy Divinski , Frank Stein , Blazej Grabowski

We report the magnetic properties of Mg$_{0.2}$Co$_{0.2}$Ni$_{0.2}$Cu$_{0.2}$Zn$_{0.2}$O, a high-entropy oxide with rocksalt structure, and the influence of substitutions on these properties. From the magnetic susceptibility and neutron…

Resonant soft X-ray scattering was used to determine the presence of more subtle orderings not detected in standard structural analyses. By tuning to specific Co absorption edges, arrangements particular to the electronic states of those…

Strongly Correlated Electrons · Physics 2017-07-17 F. J. Rueckert , F. He , B. Poudel , B. Dabrowski , W. A. Hines , J. I. Budnick , B. O. Wells

We present new rectangular mixed finite elements for linear elasticity. The approach is based on a modification of the Hellinger-Reissner functional in which the symmetry of the stress field is enforced weakly through the introduction of a…

Numerical Analysis · Mathematics 2011-03-04 Gerard Awanou

Refractory multi-principal element alloys (MPEAs) have exceptional mechanical properties, including high strength-to-weight ratio and fracture toughness, at high temperatures. Here, we elucidate the complex interplay between segregation,…

Materials Science · Physics 2020-05-18 Xiang-Guo Li , Chi Chen , Hui Zheng , Yunxing Zuo , Shyue Ping Ong

Tailoring and improving material properties by alloying is a long-known and used concept. Recent research has demonstrated the potential of ab initio calculations in understanding the material properties at the nanoscale. Here we present a…

Materials Science · Physics 2013-10-16 David Holec , Liangcai Zhou , Richard Rachbauer , Paul H. Mayrhofer

The order dependent mapping method, its convergence has recently been proven for the energy eigenvalue of the anharmonic oscillator, is applied to re-sum the standard perturbation series for Stark effect of the hydrogen atom. We perform a…

High Energy Physics - Theory · Physics 2009-10-28 Ken-ichi Hiraizumi , Yoshihisa Ohshima , Hiroshi Suzuki

We numerically examine the two-dimensional ordering of a stripe forming system of particles with competing long-range repulsion and short-range attraction in the presence of a quasi-one-dimensional corrugated substrate. As a function of…

Soft Condensed Matter · Physics 2017-12-06 D. McDermott , C. J. Olson Reichhardt , C. Reichhardt

High entropy alloys add a new dimension, atomic-scale randomness and the associated scale-dependent composition fluctuations, to the traditional metallurgical axes of time-temperature-composition-microstructure. Alloy performance is…

Materials Science · Physics 2020-09-25 Wolfram Georg Nöhring , W. A. Curtin

The observed limiting fragmentation of charged particle distributions in heavy ion collisions is difficult to explain as it does not apply to the proton spectrum itself. On the other hand, string percolation provides a mechanism to…

High Energy Physics - Phenomenology · Physics 2008-11-26 P. Brogueira , J. Dias de Deus , C. Pajares

In amorphous superconductors, superconducting and vortex pinning properties are strongly linked to the absence of long range order. Consequently, superconductivity and vortex phases can be studied to probe the underlying microstructure and…

Superconductivity · Physics 2015-05-13 J. Lefebvre , M. Hilke , Z. Altounian

We employ a machine-learning force field, trained by a neural network (NN) with bispectrum coefficients as descriptors, to investigate the short-range order (SRO) influences on the BCC NbMoTaW alloy strengthening mechanism. The NN…

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