37 citations · 59 across the 4 of their papers we have counts for
4 papers
Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning
Juejing Liu, Haydn Anderson, Noah I. Waxman +4
New discoveries in chemistry and materials science, with increasingly expanding volume of requisite knowledge and experimental workload, provide unique opportunities for machine le…
Non-stoichiometric and Subnano-heterogeneous Ln-incorporated UO2: its defect chemistry and thermal oxidation
Juejing Liu, Shinhyo Bang, Natalie S. Yaw +8
The defect chemistry and thermal oxidation of lanthanide (Ln) incorporated-UO2 are critical for understanding and predicting their behavior as enhanced fuels, mixed oxide (MOX) fue…
Machine learning assisted phase and size-controlled synthesis of iron oxides
Juejing Liu, Zimeng Zhang, Xiaoxu Li +15
The controllable synthesis of iron oxides particles is a critical issue for materials science, energy storage, biomedical applications, environmental science, and earth science. Ho…
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Xiaodong Zhao, YiXuan Luo, Juejing Liu +6
Manual analysis of XRD data is usually laborious and time consuming. The deep neural network (DNN) based models trained by synthetic XRD patterns are proved to be an automatic, acc…