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This thesis is a theoretical study of thermodynamic, point-defect formation and diffusion properties in Fe-Ni alloys with a focus on the magnetochemical effects. The results are derived from density functional theory (DFT) calculations and…

Materials Science · Physics 2023-02-02 Kangming Li

The diffusion kinetics in a CoCrFeMnNi high entropy alloy is investigated by a combined radiotracer--interdiffusion experiment applied to a pseudo-binary Co$_{15}$Cr$_{20}$Fe$_{20}$Mn$_{20}$Ni$_{25}$ /…

The Nabarro-Herring (N-H) diffusional creep theory postulates the vacancy-mediated transport of atoms under a stress gradient as the creep mechanism under low-stress and high-temperature conditions. In multicomponent alloys, we premise that…

Materials Science · Physics 2024-08-15 Shehab Shousha , Sourabh Bhagwan Kadambi , Benjamin Beeler , Boopathy Kombaiah

Recent advances in Artificial Intelligence Generated Content (AIGC) have garnered significant interest, accompanied by an increasing need to transmit and compress the vast number of AI-generated images (AIGIs). However, there is a…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Ruijie Chen , Qi Mao , Zhengxue Cheng

Microparticles migrate in response to gradients in solute concentration through diffusiophoresis and diffusioosmosis. Merging streams of fluid with distinct solute concentrations is a common strategy for producing a steady concentration…

Fluid Dynamics · Physics 2023-06-01 Robben E. Migacz , Guillaume Durey , Jesse T. Ault

The diffusion of macromolecules in cells and in complex fluids is often found to deviate from simple Fickian diffusion. One explanation offered for this behavior is that molecular crowding renders diffusion anomalous, where the mean-squared…

Soft Condensed Matter · Physics 2016-05-18 Daniel S. Banks , Charmaine Tressler , Robert D. Peters , Felix Höfling , Cécile Fradin

Radiation-induced segregation (RIS) and chemical redistribution in structural alloys can significantly degrade material performance, ultimately leading to failure. In this study, building on previous work by the authors [1], we investigate…

Materials Science · Physics 2026-03-16 Mohammadhossein Nahavandian , Anter El-Azab , Enrique Martinez

The computational prediction of the structure and stability of hybrid organic-inorganic interfaces provides important insights into the measurable properties of electronic thin film devices, coatings, and catalyst surfaces and plays an…

The microscopic model of atomic diffusion is considered to describe the short-range order relaxation kinetics within the f.c.c.-Ni-Fe Permalloys. The model takes into account both the discrete and anisotropic characters of atomic jumps…

Materials Science · Physics 2023-06-09 T. M. Radchenko , V. A. Tatarenko , S. M. Bokoch

Fickian diffusion is often used to model moisture transport through barrier coatings, where the goal is to protect an underlying substrate from the onset of corrosion caused by buildup of water or other aggressive species. Such coatings are…

Applied Physics · Physics 2017-09-06 Aaron J. Feickert , Alexander J. Wagner

We present an extension to next-to-leading order in the strong coupling constant $g$ of the AMY effective kinetic approach to the energy loss of high momentum particles in the quark-gluon plasma. At leading order, the transport of jet-like…

High Energy Physics - Phenomenology · Physics 2016-03-17 Jacopo Ghiglieri , Guy D. Moore , Derek Teaney

Continuous diffusion is a natural framework for non-autoregressive generation but has generally lagged behind masked discrete diffusion models (MDMs) on discrete sequence generation. We argue that the bottleneck is not continuity itself,…

Machine Learning · Computer Science 2026-05-22 Yunshu Wu , Jiayi Cheng , Longxuan Yu , Partha Thakuria , Rob Brekelmans , Evangelos E. Papalexakis , Greg Ver Steeg

Continuous diffusion is a natural framework for non-autoregressive generation but has generally lagged behind masked discrete diffusion models (MDMs) on discrete sequence generation. We argue that the bottleneck is not continuity itself,…

Machine Learning · Computer Science 2026-05-22 Yunshu Wu , Jiayi Cheng , Longxuan Yu , Partha Thakuria , Rob Brekelmans , Evangelos E. Papalexakis , Greg Ver Steeg

Fe-Co alloys with induced tetragonal strain are promising materials for rare-earth-free permanent magnets. However, as ultrathin-film studies have shown, tetragonal Fe-Co structures tend to a rapid relaxation toward a cubic structure as the…

Materials Science · Physics 2025-02-10 Wojciech Marciniak , Mirosław Werwiński

Efficiently designing lightweight alloys with combined high corrosion resistance and mechanical properties remains an enduring topic in materials engineering. To this end, machine learning (ML) coupled ab-initio calculations is proposed…

Liquid crystalline media mediate interactions between suspended particles and confining geometries, which not only has potential to guide patterning and bottom-up colloidal assembly, but can also control colloidal migration in microfluidic…

Soft Condensed Matter · Physics 2024-04-12 Karolina Wamsler , Louise C. Head , Tyler N. Shendruk

Block diffusion LLMs are emerging as a promising next paradigm for language generation, but their use of KV caching makes memory access a dominant bottleneck in long-context settings. While dynamic sparse attention has been actively…

Machine Learning · Computer Science 2026-02-17 Omin Kwon , Yeonjae Kim , Doyeon Kim , Minseo Kim , Yeonhong Park , Jae W. Lee

We study the metastable dynamics of a discretised version of the mass-conserving stochastic Allen-Cahn equation. Consider a periodic one-dimensional lattice with $N$ sites, and attach to each site a real-valued variable, which can be…

Probability · Mathematics 2016-01-12 Nils Berglund , Sébastien Dutercq

Diffusion in ternary, multiphase systems was studied theoretically and experimentally in Ni-Cr-Al system at 1200C. The samples were prepared by the multiple method. It has been shown that the method allows obtaining good quality, planar,…

Materials Science · Physics 2018-05-08 Marek Zajsuz

In diffusion Monte Carlo (DMC) methods, the nodes (or zeroes) of the trial wave function dictate the magnitude of the fixed-node (FN) error. Within standard DMC implementations, they emanate from short multideterminant expansions,…

Chemical Physics · Physics 2018-05-31 Anthony Scemama , Yann Garniron , Michel Caffarel , Pierre-François Loos
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