17 citations · 19 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025★ 2 cited
Unveiling the amorphous ice layer during premelting using AFM integrating machine learning
Binze Tang, Chon-Hei Lo, Tiancheng Liang +6
Premelting plays a key role across physics, chemistry, materials and biology sciences but remains poorly understood at the atomic level due to surface characterization limitations.…
cond-mat.mes-hall2022★ 17 cited
Machine learning aided atomic structure identification of interfacial ionic hydrates from atomic force microscopy images
Binze Tang, Yizhi Song, Mian Qin +5
Relevant to broad applied fields and natural processes, interfacial ionic hydrates has been widely studied by ultrahigh-resolution atomic force microscopy (AFM). However, the compl…