Results 121 to 130 of about 805,001 (346)

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke   +4 more
wiley   +1 more source

Laboratory Studies on Absolute n-resolved Charge-exchange Cross Sections and Modeling X-Ray Emissions for Ne8+ Colliding with H2 and He

open access: yesThe Astrophysical Journal
Charge exchange is a predominant process in inelastic collisions in astronomical plasmas, influencing the charge state balance and leading to X-ray emissions when solar wind ions interact with neutral gas in astrophysical environments.
P. F. Ma   +13 more
doaj   +1 more source

Influence of distance between sample surface and focal point on spectral intensity of nanosecond laser-induced silicon plasma in air

open access: yesAIP Advances, 2017
The influence of distance between sample surface and focal point on optical emission spectroscopy of laser-induced silicon plasma by a nanosecond Nd:YAG laser operating at the wavelength of 1064 nm was investigated in air.
Ying Wang   +7 more
doaj   +1 more source

Quantum optics and frontiers of physics: The third quantum revolution

open access: yes, 2016
The year 2015 was the International Year of Light. It marked, however, also the 20th anniversary of the first observation of Bose-Einstein condensation in atomic vapors by Eric Cornell, Carl Wieman and Wolfgang Ketterle.
Ahufinger, Veronica   +3 more
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Probing the Structural and Electronic Properties of Dirhenium Halide Clusters: A Density Functional Theory Study

open access: yesScientific Reports, 2018
Dirhenium halide dianions received considerable attention in past decades due to the unusual metal–metal quadruple bond. The systematic structural evolution of dirhenium halide clusters has not been sufficiently studied and hence is not well-understood ...
Li Huan Zhang   +6 more
doaj   +1 more source

Research investigation directed toward extending the useful range of the electromagnetic spectrum Third quarterly progress report, Jun. 16 - Sep. 15, 1965 [PDF]

open access: yes
Investigations in astronomy, solid state physics, optical masers, atomic physics, and radioactive atoms for electromagnetic ...
Novick, R.
core   +1 more source

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