16 citations · 32 across the 8 of their papers we have counts for
8 papers
Synergistic Interface Stability and High Room-Temperature Ionic Conductivity for Wide-Temperature All-Solid-State Batteries Based on Li6+xSixSb1-xS5I Electrolytes
Liang Ming, Qizhiran Sun, Guanping Xu +7
Solid-state lithium-ion batteries (LIBs) are increasingly recognized for their exceptional energy density and safety. However, their widespread adoption is challenged by persistent…
Synergistic effects of rare-earth doping on the magnetic properties of orthochromates: A machine learning approach
Guanping Xu, Zirui Zhao, Muqing Su +1
Multiferroic materials, particularly rare-earth orthochromates (RECrO), have garnered significant interest due to their unique magnetic and electric-polar properties, making th…
Integrating Machine Learning with Triboelectric Nanogenerators: Optimizing Electrode Materials and Doping Strategies for Intelligent Energy Harves
Guanping Xu, Zirui Zhao, Zhong Lin Wang +1
The integration of machine learning techniques with triboelectric nanogenerators (TENGs) offers a transformative pathway for optimizing energy harvesting technologies. In this stud…
Insights into dendritic growth mechanisms in batteries: A combined machine learning and computational study
Zirui Zhao, Junchao Xia, Si Wu +5
In recent years, researchers have increasingly sought batteries as an efficient and cost-effective solution for energy storage and supply, owing to their high energy density, low c…
Ultrasonic-assisted liquid phase exfoliation for high-yield monolayer graphene with enhanced crystallinity
Kaitong Sun, Si Wu, Junchao Xia +3
Graphene stands as a promising material with vast potential across energy storage, electronics, etc. Here, we present a novel mechanical approach utilizing ultrasonic high-energy i…
Unraveling the magnetic and electronic complexity of intermetallic ErPdSi: Anisotropic thermal expansion, phase transitions, and twofold magnetotransport behavior
Kaitong Sun, Si Wu, Guanping Xu +7
We present a comprehensive investigation into the physical properties of intermetallic ErPdSi, a compound renowned for its intriguing magnetic and electronic characteristic…
Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance
Zirui Zhao, Xiaoke Wang, Si Wu +5
We developed a convolutional neural network (CNN) model capable of predicting the performance of various ion-doped NASICON compounds by leveraging extensive datasets from prior exp…
Structure and magnetic properties of a LaSrCrO single crystal
Kaitong Sun, Yinghao Zhu, Shinichiro Yano +6
We have successfully grown large and good-quality single crystals of the LaSrCrO compound using the floating-zone method with laser diodes. We in…