Results 81 to 90 of about 239,845 (311)

High-energy laser facility PHELIX at GSI: latest advances and extended capabilities

open access: yesHigh Power Laser Science and Engineering
The high-energy/high-intensity laser facility PHELIX of the GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt, Germany, has been in operation since 2008.
Zs. Major   +20 more
doaj   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

open access: yesAdvanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham   +7 more
wiley   +1 more source

Gaussian content as a laser beam quality parameter [PDF]

open access: yesApplied Optics, 2011
18 pages, 5 ...
Ruschin, Shlomo   +2 more
openaire   +3 more sources

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo   +3 more
wiley   +1 more source

Laser welding beam quality calibration [PDF]

open access: yes, 1997
The relationship of beam quality and weld depth of penetration was studied to attempt to better quantify the operation of CO{sub 2} laser beam welders. Equipment to measure laser beam quality was obtained.
Foulk, L.R.
core   +1 more source

Guidelines for assessing the Quality of Repositories of OER

open access: yes, 2022
Within WP3, Task 3.2 aims to realize a reference framework to measure the quality of the Open Educational Resources (OERs). Beam Me Up (BMU), task leader, has designed and realized the framework, using a downstream approach: this means collecting as many
Beam Me Up
core   +1 more source

Stable operation of a high-voltage high-current dc photoemission gun for the bunched beam electron cooler in RHIC

open access: yesPhysical Review Accelerators and Beams, 2020
The Low Energy RHIC electron Cooling (LEReC) project at Brookhaven National Laboratory recently demonstrated for the first time cooling of hadron bunches with radio-frequency (rf) accelerated electron bunches.
X. Gu   +36 more
doaj   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira   +4 more
wiley   +1 more source

Characterization of beam quality of unstable laser beams with the multiple hyperbolas method

open access: yesResults in Physics, 2019
In this paper, the multiple hyperbolas method is proposed for characterizing the beam quality of unstable laser beams. Based on the traditional beam quality analyzer equipment, the proposed method captures multiple intensity images at every measurement ...
Lingqiang Meng   +5 more
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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