most citedA Spin-dependent Machine Learning Framework for Transition Metal Oxide Battery Cathode Materials

2 citations · 2 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci2023★ 2 cited

A Spin-dependent Machine Learning Framework for Transition Metal Oxide Battery Cathode Materials

Taiping Hu, Teng Yang, Jianchuan Liu +9

Owing to the trade-off between the accuracy and efficiency, machine-learning-potentials (MLPs) have been widely applied in the battery materials science, enabling atomic-level dyna…

cond-mat.mtrl-sci2022

Hybrid nano-domain structures of organic-inorganic perovskites from molecule-cage coupling effects

Ping Tuo, Lei Li, Xiaoxu Wang +4

In hybrid perovskites, the organic molecules and inorganic frameworks exhibit distinct static and dynamic characteristics. Their coupling will lead to unprecedented phenomena, whic…