17 citations · 22 across the 4 of their papers we have counts for
4 papers
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.…
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…
Direct evidences of pentagonal silicon chains and magic clusters
Shaoxiang Sheng, Runze Ma, Jiangbin Wu +11
Pentagon is one of the most beautiful geometric structures in nature, but it is rarely seen simply because five-fold symmetry is mathematically forbidden in a 2D or 3D periodic lat…
Submolecular-resolution non-invasive imaging of interfacial water with atomic force microscopy
Jinbo Peng, Jing Guo, Prokop Hapala +8
Scanning probe microscopy (SPM) has been extensively applied to probe interfacial water in many interdisciplinary fields but the disturbance of the probes on the hydrogen-bonding s…