22 citations · 22 across the 1 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 11 cited
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…
cond-mat.mtrl-sci2022★ 22 cited
A comprehensive review on the ferroelectric orthochromates: Synthesis, property, and application
Yinghao Zhu, Kaitong Sun, Si Wu +4
Multiferroics represent a class of advanced materials for promising applications and stand at the forefront of modern science for the special feature possessing both charge polar a…