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The diffusion and low vibrational motions of adsorbates on surfaces can be well described by a purely stochastic model, the so-called interacting single adsorbate model, for low-moderate coverages (\theta \lesssim 0.12). Within this model,…

Statistical Mechanics · Physics 2010-02-16 R. Martinez-Casado , A. S. Sanz , G. Rojas-Lorenzo , S. Miret-Artes

Nonadiabatic effects that arise from the concerted motion of electrons and atoms at comparable energy and time scales are omnipresent in thermal and light-driven chemistry at metal surfaces. Excited (hot) electrons can measurably affect…

Materials Science · Physics 2020-12-10 Connor L. Box , Yaolong Zhang , Rongrong Yin , Bin Jiang , Reinhard J. Maurer

Hydrogen diffusion in metals and alloys plays an important role in the discovery of new materials for fuel cell and energy storage technology. While analytic models use hand-selected features that have clear physical ties to hydrogen…

Materials Science · Physics 2023-10-30 Grace M. Lu , Matthew Witman , Sapan Agarwal , Vitalie Stavila , Dallas R. Trinkle

The ion energy distribution functions (IEDF) have been measured for a helium atmospheric pressure dielectric barrier discharge jet expanding into the air and impacting a metal or ceramic surface. The plasma jet produces ionization waves as…

Plasma Physics · Physics 2025-05-13 Daniel Henze , Laura Chauvet , Achim von Keudell

The potential of applying diffusion models (DMs) for multiple antenna communications is discussed. A unified framework of applying DM for multiple antenna tasks is first proposed. Then, the tasks are innovatively divided into two…

Signal Processing · Electrical Eng. & Systems 2025-02-05 Jia Guo , Xiaoxia Xu , Yuanwei Liu , Arumugam Nallanathan

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

Diffusion models are learning pattern-learning systems to model and sample from data distributions with three functional components namely the forward process, the reverse process, and the sampling process. The components of diffusion…

Machine Learning · Computer Science 2025-06-02 Ziyi Chang , George Alex Koulieris , Hyung Jin Chang , Hubert P. H. Shum

We perform a systematic study on the surface property of nucleus-nucleus potential in heavy-ion reactions using large-angle quasielastic scattering at energies well below the Coulomb barrier. At these energies, the quasielastic scattering…

Nuclear Theory · Physics 2009-11-11 K. Washiyama , K. Hagino , M. Dasgupta

Modeling radio frequency (RF) signal propagation is essential for understanding the environment, as RF signals offer valuable insights beyond the capabilities of RGB cameras, which are limited by the visible-light spectrum, lens coverage,…

Machine Learning · Computer Science 2025-10-07 Kyoungjun Park , Yifan Yang , Changhan Ge , Lili Qiu , Shiqi Jiang

A combination of experimental techniques and molecular dynamics (MD) computer simulation is used to investigate the diffusion dynamics in Al80Ni20 melts. Experimentally, the self-diffusion coefficient of Ni is measured by the long-capillary…

Disordered Systems and Neural Networks · Physics 2009-11-13 Juergen Horbach , Subir K. Das , Axel Griesche , Michael-Peter Macht , Guenter Frohberg , Andreas Meyer

Employing density functional theory calculations we explore initial stage of competitive alloying of co-deposited silver and indium atoms into a silicon surface. Particularly, we identify respective adsorption positions and activation…

Materials Science · Physics 2023-02-17 D. V. Prodan , G. V. Paradezhenko , D. Yudin , A. A. Pervishko

Atmosphere-breathing electric propulsion systems harness atmospheric particles as propellant, enabling efficient operation across diverse environmental conditions. To accurately simulate the captured gas flow through the modules,…

Fluid Dynamics · Physics 2025-08-18 M. B. Agir , N. H. Crisp , K. L. Smith , P. C. E. Roberts , M. Newsam , M. Griffiths , S Vaidya

Diffusion of a particle in the N-dimensional external potential which is periodic in one dimension and unbounded in the other N-1 dimensions is investigated. We find an analytical expression for the overdamped diffusion and study…

Statistical Mechanics · Physics 2016-08-31 O. M. Braun

Largely motivated by a number of applications, the dispersion ($C_3$) coefficients for the interaction of a Cs atom with different material media such as Au (metal), Si (semiconductor) and various dielectric surfaces like SiO$_2$,…

Atomic Physics · Physics 2016-09-21 Kiranpreet Kaur , Jasmeet Kaur , B. K. Sahoo , Bindiya Arora

The embedded topic model (ETM) is a widely used approach that assumes the sampled document-topic distribution conforms to the logistic normal distribution for easier optimization. However, this assumption oversimplifies the real…

Computation and Language · Computer Science 2025-01-03 Wei Shao , Mingyang Liu , Linqi Song

A conditional diffusion model has been developed to analyze intricate conductance fluctuations called universal conductance fluctuations or quantum fingerprints appearing in quantum transport phenomena. The model reconstructs impurity…

Mesoscale and Nanoscale Physics · Physics 2025-06-11 Naoto Yokoi , Yuki Tanaka , Yukito Nonaka , Shunsuke Daimon , Junji Haruyama , Eiji Saitoh

We model the evolution of the concentration field of macromolecules in a symmetric field-flow fractionation (FFF) channel by a one-dimensional advection-diffusion equation. The coefficients are precisely determined from the fluid dynamics.…

chao-dyn · Physics 2007-05-23 S. A. Suslov , A. J. Roberts

Diffusion models have become a new SOTA generative modeling method in various fields, for which there are multiple survey works that provide an overall survey. With the number of articles on diffusion models increasing exponentially in the…

Machine Learning · Computer Science 2023-04-05 Mengchun Zhang , Maryam Qamar , Taegoo Kang , Yuna Jung , Chenshuang Zhang , Sung-Ho Bae , Chaoning Zhang

The highly advanced treatment of surfaces as etching and deposition is mainly enabled by the extraordinary properties of technological plasmas. The primary factors that influence these processes are the flux and the energy of various…

Plasma Physics · Physics 2015-05-30 Thomas Mussenbrock

We report a general macroscopic theory for the electrodynamic response of semi-infinite metals (SIMs). The theory includes the hitherto overlooked capacitive effects due to the finite spatial extension of a surface. The basic structure of…

Mesoscale and Nanoscale Physics · Physics 2020-05-12 Hai-Yao Deng