Abstract:The 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… Show more
“…Consequently, future work in this area needs to focus on bespoke training datasets for (transition metal) X-ray absorption spectroscopy, tailored to maximise the sensitivity of the model(s) to the particular problem(s). 108…”
X-ray absorption spectroscopy at the L2/3-edge can be used to obtain detailed information about the local electronic and geometric structure of transition metal complexes. By virtue of the dipole selection...
“…Consequently, future work in this area needs to focus on bespoke training datasets for (transition metal) X-ray absorption spectroscopy, tailored to maximise the sensitivity of the model(s) to the particular problem(s). 108…”
X-ray absorption spectroscopy at the L2/3-edge can be used to obtain detailed information about the local electronic and geometric structure of transition metal complexes. By virtue of the dipole selection...
“…For quantitative evaluation, we take 200 spectra from the benchmark database * . We generate a number of plot images with different * The XASdb 59,60 hosted on the Materials Project 61 website, currently the world's largest database for computed X-ray absorption spectroscopy (XAS) data. This database stores more than 500,000 site-wise spectra and has been extensively used to accelerate the spectra interpretation through machine learning approaches [62][63][64] .…”
Section: Different Line Width and Line Style For Plot Line Detectionmentioning
Different types of spectroscopies, such as X-ray absorption near edge structure (XANES) and Raman spectroscopy, play a very important role in analyzing the characteristics of different materials. In scientific literature,...
“…[181], the authors calculated the infrared spectra, piezoelectric tensor, Born effective charge tensor, and dielectric response as a part of the JARVIS-DFT DFPT database. The Materials Project has established the largest computational X-ray absorption database (XASDb), covering the K-edge X-ray near-edge fine structure (XANES) [178,196] and the L-edge XANES [179] of a large number of material structures. The database currently hosts more than 400000 K-edge XANES site-wise spectra and 90000 L-edge XANES site-wise spectra of many compounds in the Materials Project.…”
Section: Databases and Software Librariesmentioning
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. DL allows analysis of unstructured
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