Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Samantha Tetef"'
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046119-046119-7 (2023)
As spectral imaging techniques are becoming more prominent in science, advanced image segmentation algorithms are required to identify appropriate domains in these images. We present a version of image segmentation called manifold projection image se
Externí odkaz:
https://doaj.org/article/34baa60092e045d3bf37303fdabf6dd6
Autor:
Samantha Tetef, Vikram Kashyap, William M. Holden, Alexandra Velian, Niranjan Govind, Gerald T. Seidler
Publikováno v:
The journal of physical chemistry. A. 126(29)
We analyze an ensemble of organophosphorus compounds to form an unbiased characterization of the information encoded in their X-ray absorption near-edge structure (XANES) and valence-to-core X-ray emission spectra (VtC-XES). Data-driven emergence of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad36d7887cb7f688aa05a627592a947
https://pubmed.ncbi.nlm.nih.gov/35839329
https://pubmed.ncbi.nlm.nih.gov/35839329
We report a comprehensive computational study of unsupervised machine learning for extraction of chemically relevant information in X-ray absorption near edge structure (XANES) and in valence-to-core X-ray emission spectra (VtC-XES) for classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5acccd883d3afec9243ba67b07de3c7
https://doi.org/10.26434/chemrxiv-2021-5tvrv
https://doi.org/10.26434/chemrxiv-2021-5tvrv
Autor:
Amity Andersen, Steve M. Heald, Gerald T. Seidler, Devon R. Mortensen, Samantha Tetef, Tamas Varga, Niranjan Govind, Tatiana G. Levitskaia, Daria Boglaienko
Publikováno v:
Journal of Alloys and Compounds. 897:162629
Growing interest in next generation molten salt nuclear reactors necessitates a fundamental understanding of the chemical and physico-chemical properties of fission products, including elements of the lanthanide series. In this study, we probed coord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c99b58e56e637ab1cbc84acd9dcc32a
https://doi.org/10.1016/j.jallcom.2021.162629
https://doi.org/10.1016/j.jallcom.2021.162629