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The space charge limited emission of ions from a target in the focus of an intense relativistic electron beam is studied analytically for the case of a spatially varying target density profile. In particular, the emission in the presence of…

Accelerator Physics · Physics 2007-05-23 George J. Caporaso

Computing accurate rate constants for catalytic events occurring at the surface of a given material represents a challenging task with multiple potential applications in chemistry. To address this question, we propose an approach based on a…

An investigation of the effect of surface diffusion in random deposition model is made by analytical methods and reasoning. For any given site, the extent to which a particle can diffuse is decided by the morphology in the immediate…

Soft Condensed Matter · Physics 2011-12-14 Baisakhi Mal , Subhankar Ray , J. Shamanna

An intercomparison exercise is described that examines Monte Carlo modelling of anthropomorphic voxel phantoms in an idealized ground-contamination photon exposure scenario. Thirteen participants calculated and submitted organ and effective…

In recent years it became possible to align molecules in free space using ultrashort laser pulses. Here we explore two schemes for controlling molecule-surface scattering process, which are based on the laser-induced molecular alignment. In…

Chemical Physics · Physics 2015-05-28 Yuri Khodorkovsky , J. R. Manson , Ilya Sh. Averbukh

We study the ionic distribution near a charged surface. A new method for performing Monte Carlo simulations in this geometry is discussed. A theory is then presented that allows us to accurately reproduce the density profiles obtained in…

Chemical Physics · Physics 2012-11-09 Alexandre P. dos Santos , Yan Levin

Environmental research aimed at monitoring and predicting O2 depletion is still lacking or in need of improvement, in spite of many attempts to find a relation between atmospheric gas content and climate variability. The aim of the present…

Atmospheric and Oceanic Physics · Physics 2009-01-21 A. Grieco , G. Candeo , P. Marziani

This paper investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS). Different from the state-of-the-art reconfigurable…

Systems and Control · Electrical Eng. & Systems 2022-07-13 Yifan Liu , Bin Duo , Qingqing Wu , Xiaojun Yuan , Yonghui Li

This study presents an innovative approach to creating a dynamic, AI based emission inventory system for use with the Weather Research and Forecasting model coupled with Chemistry (WRF Chem), designed to simulate vehicular and other…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Shubham Ghosal , Manmeet Singh , Sachin Ghude , Harsh Kamath , Vaisakh SB , Subodh Wasekar , Anoop Mahajan , Hassan Dashtian , Zong-Liang Yang , Michael Young , Dev Niyogi

Continuous monitoring of blood oxygen saturation levels is vital for patients with pulmonary disorders. Traditionally, SpO$_2$ monitoring has been carried out using transmittance pulse oximeters due to its dependability. However, SpO$_2$…

Signal Processing · Electrical Eng. & Systems 2020-04-15 Sricharan Vijayarangan , Prithvi Suresh , Preejith SP , Jayaraj Joseph , Mohansankar Sivaprakasam

Intelligent reflecting surface (IRS) has emerged as a revolutionizing solution to enhance wireless communications by intelligently changing the propagation environment. Prior studies on IRS are based on an ideal reflection model with a…

Signal Processing · Electrical Eng. & Systems 2020-06-03 Wenhao Cai , Hongyu Li , Ming Li , Qian Liu

Average atom (AA) models allow one to efficiently compute electronic and optical properties of materials over a wide range of conditions and are often employed to interpret experimental data. However, at high pressure, predictions from AA…

Plasma Physics · Physics 2021-05-06 G. Massacrier , M. Böhme , J. Vorberger , F. Soubiran , B. Militzer

We propose to develop deep learning models that can predict Pareto optimal dose distributions by using any given set of beam angles, along with patient anatomy, as input to train the deep neural networks. We implement and compare two deep…

Medical Physics · Physics 2021-01-27 Gyanendra Bohara , Azar Sadeghnejad Barkousaraie , Steve Jiang , Dan Nguyen

Conventional radiotherapy dose calculation algorithms are often computationally slow and non-differentiable, creating bottlenecks for online adaptive radiotherapy (ART) and limiting end-to-end automatic planning. Deep learning provides…

Ions accelerated by electric fields (so-called runaway ions) in plasmas may explain observations in solar flares and fusion experiments, however limitations of previous analytic work have prevented definite conclusions. In this work we…

Plasma Physics · Physics 2015-06-11 Ola Embréus , Sarah Newton , Adam Stahl , Eero Hirvijoki , Tünde Fülöp

In this work, two problems associated with a downlink multi-user system are considered with the aid of intelligent reflecting surface (IRS): weighted sum-rate maximization and weighted minimal-rate maximization. For the first problem, a…

Information Theory · Computer Science 2022-01-25 Liyue Zhang , Qing Wang , Haozhi Wang , Peng Chen , Hua Chen , Wei Liu , Zhiqiang Wu

Atmospheric carbon dioxide concentrations are being closely monitored by remote sensing experiments which rely on knowing line intensities with an uncertainty of 0.5% or better. We report a theoretical study providing rotation-vibration…

The x-ray emission in laser-plasma accelerators can be a powerful tool to understand the physics of relativistic laser-plasma interaction. It is shown here that the mapping of betatron x-ray radiation can be obtained from the x-ray beam…

A fast simulation method is presented for a depleted monolithic active pixel sensor, which uses a data driven parameterization of the charge collection and propagation. This approach provides an efficient alternative to TCAD simulations,…

Massive multiple-input multiple-output (MIMO) radar, enabled by millimeter-wave virtual MIMO techniques, provides great promises to the high-resolution automotive sensing and target detection in unmanned ground/aerial vehicles (UGA/UAV). As…

Signal Processing · Electrical Eng. & Systems 2021-12-22 Bin Li , Shuseng Wang , Jun Zhang , Xainbin Cao , Chenglin Zhao