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When solving a segmentation task, shaped-base methods can be beneficial compared to pixelwise classification due to geometric understanding of the target object as shape, preventing the generation of anatomical implausible predictions in…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Ron Keuth , Mattias Heinrich

GaAsPN layers with a thickness of 30nm were grown on GaP substrates with metalorganic vapor phase epitaxy to study the feasibility of a single X-ray diffraction (XRD) measurement for full composition determination of quaternary layer…

Materials Science · Physics 2014-05-23 J. -M. Tilli , H. Jussila , K. M. Yu , T. Huhtio , M. Sopanen

We present a Raman study of Ar(+)-bombarded graphene samples with increasing ion doses. This allows us to have a controlled, increasing, amount of defects. We find that the ratio between the D and G peak intensities for a given defect…

Surface enhanced Raman scattering (SERS) exploits surface plasmons induced by the incident field in metallic nanostructures to significantly increase the Raman intensity. Graphene provides the ideal prototype two dimensional (2d) test…

Mesoscale and Nanoscale Physics · Physics 2013-04-03 F. Schedin , E. Lidorikis , A. Lombardo , V. G. Kravets , A. K. Geim , A. N. Grigorenko , K. S. Novoselov , A. C. Ferrari

Composition-spread La1-xSrxMnO3 thin films were prepared by pulsed laser deposition technique from LaMnO3 and SrMnO3 targets. The films were epitaxial with a continuous variation of the out of plane lattice parameter along the direction of…

Materials Science · Physics 2007-05-23 A. Venimadhav , K. A. Yates , M. G. Blamire

The sorption of radionuclides by graphene oxides synthesized by different methods was studied through a combination of batch experiments with characterization by microscopic and spectroscopic techniques such as X-ray photoelectron…

Quantum-mechanical ab initio calculations are performed to elucidate the vibrational spectroscopic features of a common irradiation-induced defect in diamond, i.e. the neutral vacancy. Raman spectra are computed analytically through a…

Materials Science · Physics 2016-08-31 J. Baima , A. Zelferino , P. Olivero , A. Erba , R. Dovesi

In this paper, we propose a Bayesian spectral deconvolution considering the properties of peaks in different energy domains. Bayesian spectral deconvolution regresses spectral data into the sum of multiple basis functions. Conventional…

Layered materials (LMs), such as graphite, hexagonal boron nitride, and transition-metal dichalcogenides, are at the centre of an ever increasing research effort, due to their scientific and technological relevance. Raman and infrared…

Materials Science · Physics 2021-12-23 Giovanni Pizzi , Silvia Milana , Andrea C. Ferrari , Nicola Marzari , Marco Gibertini

X-ray reflectivity (XRR) is widely used for thin-film structure analysis, and XRR data analysis involves minimizing the difference between an XRR curve calculated from model parameters describing the thin-film structure. This analysis takes…

Disordered Systems and Neural Networks · Physics 2022-03-31 Kook Tae Kim , Dong Ryeol Lee

Raman spectroscopy is a powerful tool for characterizing the local properties of graphene. Here, we introduce a method for evaluating unknown strain configurations and simultaneous doping. It relies on separating the effects of hydrostatic…

The deformation of monolayer graphene, produced by chemical vapor deposition (CVD), on a polyester film substrate has been investigated through the use of Raman spectroscopy. It has been found that the microstructure of the CVD graphene…

Raman spectroscopy is a promising technique used for noninvasive analysis of samples in various fields of application due to its ability for fingerprint probing of samples at the molecular level. Chemometrics methods are widely used…

Quantitative Methods · Quantitative Biology 2022-10-20 Yulia Khristoforova , Lyudmila Bratchenko , Ivan Bratchenko

The surface-enhanced Raman scattering in graphene deposited on AlxGa1-xN/GaN axial heterostructure nanowires was investigated. The intensity of graphene Raman spectra was found not to be correlated with aluminium content. Analysis of…

Investigation of charged defects is necessary to understand the properties of semiconductors. While density functional theory calculations can accurately describe the relevant physical quantities, these calculations increase the…

Materials Science · Physics 2022-04-01 Koji Shimizu , Ying Dou , Elvis F. Arguelles , Takumi Moriya , Emi Minamitani , Satoshi Watanabe

The interest of micro and tip-enhanced Raman spectroscopy to analyze nanosized and nanostructured materials, chiefly semiconductors, oxides and pristine or functionalized carbon nanotubes, is reviewed at the light of the contributions to…

Materials Science · Physics 2007-06-07 Philippe Colomban , Gwénael Gouadec

Modern materials science requires efficient processing and characterization techniques for low dimensional systems. Raman spectroscopy is an important non-destructive tool, which provides enormous information on these materials. This…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 A. Singha , P. Dhar , Anushree Roy

We preprocess the raw NMR spectrum and extract key characteristic features by using two different methodologies, called equidistant sampling and peak sampling for subsequent substructure pattern recognition; meanwhile may provide the…

Quantitative Methods · Quantitative Biology 2021-07-27 Chongcan Li , Yong Cong , Weihua Deng

We reported the usage of grating-based X-ray phase-contrast imaging in nondestructive testing of grating imperfections. It was found that electroplating flaws could be easily detected by conventional absorption signal, and in particular, we…

Instrumentation and Detectors · Physics 2018-04-27 Shenghao Wang , Can Zhang

Graphene has many unique properties that make it an ideal material for fundamental studies as well as for potential applications. Here we review the recent results on the Raman spectroscopy and imaging of graphene. Raman spectroscopy and…

Materials Science · Physics 2008-10-17 Zhen hua Ni , Ying ying Wang , Ting Yu , Ze xiang Shen