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Displaying 4726 - 4750 of 143721

The Inner Shell Spectroscopy Beamline at NSLS-II: a facility for in situ and operando X-ray absorption spectroscopy for materials research

July 1, 2022
Author(s)
Bruce D. Ravel, Denis Leshchev, Bruno Luvizotto, Ruslan Kadyrov, Klaus Attenkofer, Eli Stavitski
Abstract The Inner Shell Spectroscopy (ISS) beamline on the 8-ID station at the National Synchrotron Light Source II (NSLS-II), Upton, NY, USA, is a high throughput X-ray Absorption Spectroscopy beamline designed for the in situ, operando, and time

Time-gated Raman spectroscopy of recovered plastics

July 1, 2022
Author(s)
Anthony Kotula, Sara Orski, Kayla Brignac, Jennifer Lynch, Bryan Heilala
Raman spectroscopy is a powerful non-destructive technique for the identification and characterization of plastics. The technique often has limited use due to fluorescence emission, which often occurs in polymer samples containing colorants or that have

Computational Study of the Allosteric Effects of p5 on the CDK5-p25 Hyperactivity as Alternative Inhibitory Mechanisms in Neurodegeneration

June 30, 2022
Author(s)
Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, Jeffery B. Klauda
The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disease (AD

Report of the 105th & 106th National Conference on Weights and Measures

June 30, 2022
Author(s)
Shelby Bowers, Yvonne Branden, Tina G. Butcher, Richard A. Harshman, Gloria Diane Lee, David Sefcik, Lisa Warfield
The 105th Annual Meeting of the National Conference on Weights and Measures (NCWM) was held virtually July 12 - 16, 2020. The 106th Annual Meeting of the National Conference on Weights and Measures (NCWM) was held July 18 - 23, 2021, at the Hyatt Regency

Segmentation of Additive Manufacturing Defects Using U-Net

June 30, 2022
Author(s)
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance of the fabricated part. X-ray computed tomography (XCT)

Self-Driven Highly Responsive PN Junction InSe Heterostructure Near-Infrared Light Detector

June 30, 2022
Author(s)
Chandraman Patil, Chaobo Dong, Hao Wang, Hamed Dalir, Sergiy Krylyuk, Huairuo Zhang, Albert Davydov, Volker Sorger
Photodetectors converting light signals into detectable photocurrents are ubiquitously in use today. To improve the compactness and performance of next-generation devices and systems, low dimensional materials provide rich physics to engineering the light

Thermal and mechanical properties of clathrate-II Na24Si136

June 30, 2022
Author(s)
Matthew Beekman, Antti Karttunen, Winnie Wong-Ng, Mingjian Zhang, Yu-Sheng Chen, Christian Posadas, Andrew Jarymowycz, Ethan Cruise, Wanyue Peng, Alexandra Zevalkink, James A. Kaduk, George S. Nolas
Thermal expansion, lattice dynamics, heat capacity, compressibility, and pressure stability of the intermetallic clathrate Na24Si136 have been investigated by a combination of first principles calculations and experiment. Direct comparison of the

Ultra-low Power Dual Frequency Comb Ranging

June 30, 2022
Author(s)
Emily Caldwell, Laura Sinclair, Jean-Daniel Deschenes, Nathan R. Newbury
Dual comb ranging is a well-established method of laser-based ranging that exploits frequency combs to provide absolute, high-precision measurements. It suffers, however, from a significant power penalty when compared with conventional FMCW LIDAR. Here, we

Application of machine learning to reflection high-energy electron diffraction images for automated structural phase mapping

June 29, 2022
Author(s)
Haotong Liang, Valentin Stanev, A. Gilad Kusne, Yuuto Tsukahara, Ama Itou, Ryota Takahashi, Mikk Lippmaa, Ichiro Takeuchi
We have developed a phase mapping method based on machine learning analysis of reflection high-energy electron diffraction (RHEED) images. RHEED produces diffraction patterns containing a wealth of static and dynamic information and is commonly used to
Displaying 4726 - 4750 of 143721
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