1.8k citations · 3.5k across the 17 of their papers we have counts for
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cond-mat.mtrl-sci2021★ 106 cited
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra
Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng +2
Autonomous synthesis and characterization of inorganic materials requires the automatic and accurate analysis of X-ray diffraction spectra. For this task, we designed a probabilist…
cond-mat.mtrl-sci2021★ 125 cited
Synthetic accessibility and stability rules of NASICONs
Bin Ouyang, Jingyang Wang, Tanjin He +6
In this paper we develop the stability rules for NASICON structured materials, as an example of compounds with complex bond topology and composition. By applying machine learning t…