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In this work, molecular dynamics (MD) simulations were used to investigate elementary dislocation properties in a Co-free high entropy (HEA) model alloy ($Cr_{15}Fe_{46}Mn_{17}Ni_{22}$ at. %) in comparison with a model alloy representative…

Atomic and Molecular Clusters · Physics 2022-05-19 Ayobami Daramola , Anna Fraczkiewicz , Giovanni Bonny , Akiyoshi Nomoto , Gilles Adjanor , Christophe Domain , Ghiath Monnet

Linear instability of high-speed boundary layers is routinely examined assuming quiescent edge conditions, without reference to the internal structure of shocks or to instabilities potentially generated in them. Our recent work has shown…

Fluid Dynamics · Physics 2021-01-05 Saurabh S. Sawant , Deborah A. Levin , Vassilios Theofilis

The stochastic motion in a nonhomogeneous medium with traps is studied and diffusion properties of that system are discussed. The particle is subjected to a stochastic stimulation obeying a general L\'evy stable statistics and experiences…

Statistical Mechanics · Physics 2015-06-11 Tomasz Srokowski

To elucidate the atomistic diffusion mechanism responsible for the rapid diffusion in alkali halide nano particles, called Spontaneous Mixing, we execute molecular dynamics simulations with empirical models for KCl-KBr, NaCl-NaBr, RbCl-RbBr…

Mesoscale and Nanoscale Physics · Physics 2016-01-11 Tomoaki Niiyama , Shin-ichi Sawada , Kensuke S. Ikeda , Yasushi Shimizu

Dirac-delta distributions are often crucial components of the solid-fluid coupling operators in immersed solution methods for fluid-structure interaction (FSI) problems. This is certainly so for methods like the Immersed Boundary Method…

Numerical Analysis · Mathematics 2013-02-06 Luca Heltai , Francesco Costanzo

A large number (~10,000) of uniform stainless steel balls comprising less than one layer coverage on a vertically shaken plate provides a rich system for the study of excited granular media. Viewed from above, the horizontal motion in the…

Soft Condensed Matter · Physics 2007-05-23 J. S. Urbach , J. S. Olafsen

Sliding of two-dimensional materials is critical for their application as solid lubricants for space, and also relevant for strain engineering and device fabrication. Dopants such as Ni surprisingly improve lubrication in MoS$_2$, despite…

Materials Science · Physics 2022-10-03 Enrique Guerrero , David A. Strubbe

Electrochemical Impedance Spectroscopy and Raman studies are performed on fast ion conducting, AgI-Ag2O-MoO3 glasses, over a wide range of composition to understand the features of structure, ion migration and their correlation. These…

Materials Science · Physics 2019-06-19 B. Tanujit , S. Asokan

Additive manufacturing (AM) offers an unprecedented opportunity for the quick production of complex shaped parts directly from a powder precursor. But its application to functional materials in general and magnetic materials in particular…

Materials Science · Physics 2019-04-02 Min Yi , Bai-Xiang Xu , Oliver Gutfleisch

We present results of kinetic lattice Monte Carlo (KLMC) simulations of substitutional arsenic diffusion in silicon mediated by lattice vacancies. Large systems are considered, with 1000 dopant atoms and long range \textit{ab initio}…

Materials Science · Physics 2010-12-16 Benjamin P. Haley , Niels Grønbech-Jensen

In the present work, we use Mach-Zehnder interferometry to thoroughly investigate the drying dynamics of a 2D confined drop of a charged colloidal dispersion. This technique makes it possible to measure the colloid concentration field…

Soft Condensed Matter · Physics 2020-08-13 Benjamin Sobac , Sam Dehaeck , Anne Bouchaudy , Jean-Baptiste Salmon

This paper investigates symbol detection for single-carrier communication systems operating in the presence of additive interference with Nakagami-m statistics. Such interference departs from the assumptions underlying conventional…

The Ensemble Kalman filter is a sophisticated and powerful data assimilation method for filtering high dimensional problems arising in fluid mechanics and geophysical sciences. This Monte Carlo method can be interpreted as a mean-field…

Probability · Mathematics 2016-10-04 Pierre Del Moral , Julian Tugaut

3D medical imaging is in high demand and essential for clinical diagnosis and scientific research. Currently, diffusion models (DMs) have become an effective tool for medical imaging reconstruction thanks to their ability to learn rich,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Chenhe Du , Qing Wu , Xuanyu Tian , Jingyi Yu , Hongjiang Wei , Yuyao Zhang

Convection-diffusion equations arise in a variety of applications such as particle transport, electromagnetics, and magnetohydrodynamics. Simulation of the convection-dominated regime for these problems, even with high-fidelity techniques,…

Numerical Analysis · Mathematics 2023-05-24 James H. Adler , Casey Cavanaugh , Xiaozhe Hu , Andy Huang , Nathaniel Trask

Simulating long-term mass diffusion kinetics with atomic precision is important to predict chemical and mechanical properties of alloys over time scales of engineering interest in applications, including (but not limited to) alloy heat…

Materials Science · Physics 2025-06-25 Shashank Saxena , Prateek Gupta , Dennis M. Kochmann

This paper studies the problem of steering large-scale multi-agent stochastic linear systems between Gaussian distributions under probabilistic collision avoidance constraints. We introduce a family of \textit{distributed covariance…

Systems and Control · Electrical Eng. & Systems 2026-04-07 Augustinos D. Saravanos , Isin M. Balci , Arshiya Taj Abdul , Efstathios Bakolas , Evangelos A. Theodorou

Room temperature solute clustering in aluminium alloys, or natural ageing, despite its industrial relevance, is still subject to debate, mostly due to its experimentally challenging nature. To better understand the complex…

Materials Science · Physics 2019-04-22 Rosen Ivanov , Alexis Deschamps , Frédéric De Geuser

The macroscopic interactions of liquid iron and solid oxides, such as alumina, calcia, magnesia, silica, and zirconia manifest the behavior and efficiency of high-temperature metallurgical processes. The oxides serve dual roles, both as…

Materials Science · Physics 2025-04-08 Sudhanshu Kuthe , Mathias Boström , Wen Chen , Björn Glaser , Clas Persson

Nanoscale precipitates in the microstructure of nickel-based superalloys hinder dislocation motion, which results in an extraordinary strengthening effect at elevated temperatures. We used molecular dynamics (MD) with classical effective…

Materials Science · Physics 2024-03-04 Geraldine Anis , Thomas Hudson , Peter Brommer
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