High throughput measurements of soft x-ray impurity emission using a multilayer mirror telescope

2006 ◽  
Vol 77 (10) ◽  
pp. 10F330 ◽  
Author(s):  
D. Stutman ◽  
K. Tritz ◽  
L. Delgado-Aparicio ◽  
M. Finkenthal ◽  
G. Suliman ◽  
...  
1990 ◽  
Vol 61 (10) ◽  
pp. 2786-2788 ◽  
Author(s):  
A. P. Zwicker ◽  
S. P. Regan ◽  
M. Finkenthal ◽  
H. W. Moos

1992 ◽  
Vol 10 (4) ◽  
pp. 827-839
Author(s):  
D. Schirmann ◽  
J. L. Bocher ◽  
J. P. Le Breton ◽  
A. Mens ◽  
R. Sauneuf

Soft X-ray imaging detection is usually made by using 101–01, 101–07, or SA1 Kodak films. Recent progress in thinned CCD fabrication allows us now to replace films by thinned CCDs to detect UV soft X-ray light with an enhanced sensitivity. We developed a thinned CCD system, and to demonstrate its applicability to replace photographic films we tested it behind a broad spectral range soft X-ray transmission grating spectrometer and a soft X-ray Mo/Si multilayer mirror telescope. Soft X-ray spectra and soft X-ray pictures of laser-created plasma are presented using these instruments implemented with a thinned CCD readout.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yiming Chen ◽  
Chi Chen ◽  
Chen Zheng ◽  
Shyam Dwaraknath ◽  
Matthew K. Horton ◽  
...  

AbstractThe L-edge X-ray Absorption Near Edge Structure (XANES) is widely used in the characterization of transition metal compounds. Here, we report the development of a database of computed L-edge XANES using the multiple scattering theory-based FEFF9 code. The initial release of the database contains more than 140,000 L-edge spectra for more than 22,000 structures generated using a high-throughput computational workflow. The data is disseminated through the Materials Project and addresses a critical need for L-edge XANES spectra among the research community.


Nano Research ◽  
2021 ◽  
Author(s):  
Olga A. Krysiak ◽  
Simon Schumacher ◽  
Alan Savan ◽  
Wolfgang Schuhmann ◽  
Alfred Ludwig ◽  
...  

AbstractDespite outstanding accomplishments in catalyst discovery, finding new, more efficient, environmentally neutral, and noble metal-free catalysts remains challenging and unsolved. Recently, complex solid solutions consisting of at least five different elements and often named as high-entropy alloys have emerged as a new class of electrocatalysts for a variety of reactions. The multicomponent combinations of elements facilitate tuning of active sites and catalytic properties. Predicting optimal catalyst composition remains difficult, making testing of a very high number of them indispensable. We present the high-throughput screening of the electrochemical activity of thin film material libraries prepared by combinatorial co-sputtering of metals which are commonly used in catalysis (Pd, Cu, Ni) combined with metals which are not commonly used in catalysis (Ti, Hf, Zr). Introducing unusual elements in the search space allows discovery of catalytic activity for hitherto unknown compositions. Material libraries with very similar composition spreads can show different activities vs. composition trends for different reactions. In order to address the inherent challenge of the huge combinatorial material space and the inability to predict active electrocatalyst compositions, we developed a high-throughput process based on co-sputtered material libraries, and performed high-throughput characterization using energy dispersive X-ray spectroscopy (EDS), scanning transmission electron microscopy (SEM), X-ray diffraction (XRD) and conductivity measurements followed by electrochemical screening by means of a scanning droplet cell. The results show surprising material compositions with increased activity for the oxygen reduction reaction and the hydrogen evolution reaction. Such data are important input data for future data-driven materials prediction.


2020 ◽  
Author(s):  
Kiranjot ◽  
Mangalika Sinha ◽  
R. K. Gupta ◽  
P. K. Yadav ◽  
Mohammed H. Modi

2004 ◽  
Vol 75 (10) ◽  
pp. 4029-4032 ◽  
Author(s):  
B. Jones ◽  
C. Deeney ◽  
A. Pirela ◽  
C. Meyer ◽  
D. Petmecky ◽  
...  
Keyword(s):  
X Ray ◽  

2018 ◽  
Vol 89 (11) ◽  
pp. 113111 ◽  
Author(s):  
Wolfgang Malzer ◽  
Daniel Grötzsch ◽  
Richard Gnewkow ◽  
Christopher Schlesiger ◽  
Fabian Kowalewski ◽  
...  

2018 ◽  
Vol 24 (S1) ◽  
pp. 1008-1009
Author(s):  
Wenbing Yun ◽  
Srivatsan Seshadri ◽  
Sylvia Lewis ◽  
Jeff Gelb ◽  
SH Lau ◽  
...  

Plant Methods ◽  
2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Francisco E. Gomez ◽  
Geraldo Carvalho ◽  
Fuhao Shi ◽  
Anastasia H. Muliana ◽  
William L. Rooney

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