119 citations · 380 across the 26 of their papers we have counts for
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cond-mat.mtrl-sci2019★ 119 cited
Machine-Learning X-ray Absorption Spectra to Quantitative Accuracy
Matthew R. Carbone, Mehmet Topsakal, Deyu Lu +1
The advent of massive data repositories has propelled machine learning techniques to the front lines of many scientific fields, and exploring new frontiers by leveraging the predic…
cond-mat.mtrl-sci2019★ 108 cited
Classification of Local Chemical Environments from X-ray Absorption Spectra using Supervised Machine Learning
Matthew R. Carbone, Shinjae Yoo, Mehmet Topsakal +1
X-ray absorption spectroscopy is a premier element-specific technique for materials characterization. Specifically, the x-ray absorption near-edge structure (XANES) encodes importa…