17 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2026
Understanding the Density Maximum of Water with Machine Learned Potentials
Yizhi Song, Renxi Liu, Chunyi Zhang +5
After melting, at ambient pressure, the density of water continues to increase with temperature until it reaches a maximum around 4 °C. For nearly a century, this phenomenon has be…
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…