Publications (6)
Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy
Ming Du, Mark Wolfman, Chengjun Sun +2
X-ray absorption near edge structure (XANES) spectroscopy is a powerful technique for characterizing the chemical state and symmetry of individual elements within materials, but re…
A Signature Based Approach Towards Global Channel Charting with Ultra Low Complexity
Longhai Zhao, Yunchuan Yang, Qi Xiong +4
Channel charting, an unsupervised learning method that learns a low-dimensional representation from channel information to preserve geometrical property of physical space of user e…
Pressure enhanced interplay among lattice, spin and charge in La2FeMnO6 mixed perovskite
Nana Li, Fengren Fan, Fei Sun +16
Spin crossover plays a central role in the structural instability, net magnetic moment modification, metallization, and even in superconductivity in corresponding materials. Most r…
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…
Robust Machine Learning Inference from X-ray Absorption Near Edge Spectra through Featurization
Yiming Chen, Chi Chen, Inhui Hwang +9
X-ray absorption spectroscopy (XAS) is a commonly-employed technique for characterizing functional materials. In particular, x-ray absorption near edge spectra (XANES) encodes loca…
Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-ground Communications
Xutao Zhou, Xiangfei Zhang, Chen Chen +6
As more and more people choose high-speed rail (HSR) as a means of transportation for short trips, there is ever growing demand of high quality of multimedia services. With its ric…