37 citations · 55 across the 6 of their papers we have counts for
6 papers
OASIS: A Deep Learning Framework for Universal Spectroscopic Analysis Driven by Novel Loss Functions
Chris Young, Juejing Liu, Marie L. Mortensen +6
The proliferation of spectroscopic data across various scientific and engineering fields necessitates automated processing. We introduce OASIS (Omni-purpose Analysis of Spectra via…
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…
Data-Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data
Juejing Liu, Xiaoxu Li, Yifu Feng +4
Quantitative understanding of rare earth element (REE) mineralization mechanisms, crucial for improving industrial separation, remains limited. This study leverages 1239 hydrotherm…
Molecular Insights into Yb(III) Speciation in Sulfate-Bearing Hydrothermal Fluids from X-ray Absorption Spectra Informed by ab initio Molecular Dynamics
Xiaodong Zhao, Duo Song, Sebastian Mergelsberg +9
Rare earth elements (REEs) are critical for advanced technologies, yet in hydrothermal aqueous solutions the molecular level details of their interaction with ligands that control…
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…