21 citations · 31 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2019★ 10 cited
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning
Nouamane Laanait, Qian He, Albina Y. Borisevich
Deep learning has demonstrated superb efficacy in processing imaging data, yet its suitability in solving challenging inverse problems in scientific imaging has not been fully expl…
cond-mat.mtrl-sci2017★ 21 cited
Manipulating Multiple Order Parameters via Oxygen Vacancies: The case of Eu0.5Ba0.5TiO3-δ
Weiwei Li, Qian He, Le Wang +27
Controlling functionalities, such as magnetism or ferroelectricity, by means of oxygen vacancies (VO) is a key issue for the future development of transition metal oxides. Progress…
cond-mat.mtrl-sci2015
HAADF-STEM Study of Mo/V Distributions in Mo-V-Te-Ta-O M1 Phases and Their Correlations with Surface Reactivity
Jungwon Woo, Albina Borisevich, Qian He +1
The MoVTeTaO M1 phases were prepared by conventional hydrothermal (HT) and microwave-assisted HT synthesis methods (MW) employing two different Ta precursors, Ta ethoxide and a cus…