146 citations · 394 across the 7 of their papers we have counts for
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cond-mat.mtrl-sci2021★ 6 cited
Deep Learning Inter-atomic Potential for Thermal and Phonon Behaviour of Silicon Carbide with Quantum Accuracy
Baoqin Fu, Yandong Sun, Linfeng Zhang +2
Silicon carbide (SiC) is an essential material for next generation semiconductors and components for nuclear plants. It's applications are strongly dependent on its thermal conduct…
cond-mat.mtrl-sci2021★ 1 cited
A Generalizable Machine-learning Potential of Ag-Au Nanoalloys and its Application on Surface Reconstruction, Segregation and Diffusion
Yinan Wang, Xiaoyang Wang, Linfeng Zhang +2
Owing to the excellent catalysis properties of Ag-Au binary nanoalloy, nanostructured Ag-Au, such as Ag-Au nanoparticles and nanopillars, have been under intense investigation. To…