4 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…
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…
Determining the Dielectric Constant of Solid/Liquid Interfaces
Somaiyeh Dadashi, Narendra M. Adhikari, Hao Li +4
The dielectric constant () of interfacial water is an important parameter, but its measurement has posed challenges, and no consensus has been reached on a ge…
Atomic-scale Mapping Unravel Anisotropic Dissolution Behaviors of Gibbsite Nanosheets
Xiaoxu Li, Qing Guo, Yatong Zhao +11
This study examines the anisotropic dissolution of the basal plane gibbsite (γ-Al(OH)3) nanoplates in sodium hydroxide solution using in situ atomic force microscopy (AFM) and dens…