Results 1 to 10 of about 1,928,738 (354)

A database of computed Raman spectra of inorganic compounds with accurate hybrid functionals [PDF]

Scientific Data
Raman spectroscopy is widely applied in identifying local structures in materials, but the interpretation of Raman spectra is non-trivial. An accurate computational database of reference spectra calculated with a consistent level of theory can ...
Yuheng Li, Damien K. J. Lee, Pengfei Cai, Ziyi Zhang, Prashun Gorai, Pieremanuele Canepa   +5 more
doaj   +2 more sources

High-Throughput Computation of ab initio Raman Spectra for Two-Dimensional Materials [PDF]

Scientific Data
Raman spectra play an important role in characterizing two-dimensional materials, as they provide a direct link between the atomic structure and the spectral features.
Geng Li, Yingxiang Gao, Daiyou Xie, Leilei Zhu, Dongjie Shi, Shuming Zeng, Wei Zhan, Jun Chen, Honghui Shang   +8 more
doaj   +2 more sources

A shifted‐excitation Raman difference spectroscopy (SERDS) evaluation strategy for the efficient isolation of Raman spectra from extreme fluorescence interference

Journal of Raman Spectroscopy, 2016
A biochemical characterization of pathologies in biological tissue can be provided by Raman spectroscopy. Often, the raw spectrum is severely affected by fluorescence interference.
Medhanie Gebrekidan, Stefan Will, Andreas Braeuer   +2 more
exaly   +2 more sources

Spectrally-Resolved Raman Lidar to Measure Atmospheric Three-Phase Water Simultaneously [PDF]

EPJ Web of Conferences, 2020
We report on a spectrally-resolved Raman lidar that can simultaneously profile backscattered Raman spectrum signals from water vapor, water droplets and ice crystals as well as aerosol fluorescence in the atmosphere.
Liu Fuchao, Yi Fan
doaj   +1 more source

Multivariate Curve Resolution Alternating Least Squares Analysis of In Vivo Skin Raman Spectra

Sensors, 2022
In recent years, Raman spectroscopy has been used to study biological tissues. However, the analysis of experimental Raman spectra is still challenging, since the Raman spectra of most biological tissue components overlap significantly and it is ...
Irina Matveeva, Ivan Bratchenko, Yulia Khristoforova, Lyudmila Bratchenko, Alexander Moryatov, Sergey Kozlov, Oleg Kaganov, Valery Zakharov   +7 more
doaj   +1 more source

Graphene Domain Signature of Raman Spectra of sp2 Amorphous Carbons [PDF]

Nanomaterials, 2020
The standard D-G-2D pattern of Raman spectra of sp2 amorphous carbons is considered from the viewpoint of graphene domains presenting their basic structure units (BSUs) in terms of molecular spectroscopy. The molecular approximation allows connecting the
E. Sheka, Y. Golubev, N. Popova
semanticscholar   +1 more source

Aperture-Sensitive Distal Depth Scanning Raman Spectroscopy

IEEE Photonics Journal, 2022
Depth sensitive Raman spectroscopy has shown its advantages in the detection of Raman spectra for layered tissues. However, till now the depth scanning mode in Raman spectroscopy is the proximal scanning mode, which has disadvantages in significant ...
Lei Liu, Chunzhong Li, Haiyi Bian
doaj   +1 more source

Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel

Computers, 2021
This work explores the suitability of data treatment methodologies for Raman spectra of teeth using multivariate analysis methods. Raman spectra were measured in our laboratory and obtained from control enamel samples and samples with a protective ...
Iulian Otel, Joao Silveira, Valentina Vassilenko, António Mata, Maria Luísa Carvalho, José Paulo Santos, Sofia Pessanha   +6 more
doaj   +1 more source

Reference database of Raman spectra of biological molecules

Journal of Raman Spectroscopy, 2007
Peter Vandenabeele
exaly   +2 more sources

The application of wavelet transform of Raman spectra to facilitate transfer learning for gasoline detection and classification

Talanta Open, 2022
This study proposed an artificial intelligence (AI) approach for rapid, automatic detection of gasoline samples from different ignitable liquid samples based on their Raman spectra.
Ting-Yu Huang, Jianzhong Wang, Qingzhong Liu, Jorn Yu   +3 more
doaj   +1 more source