4 papers
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 b…
Simulations of dielectric permittivity of water by Machine Learned Potentials with long-range Coulombic interactions
Kehan Cai, Chunyi Zhang, Xifan Wu
The dielectric permittivity of liquid water is a fundamental property that underlies its distinctive behaviors in numerious physical, biological, and chemical processes. Within a m…
Pressure-Induced Structural and Dielectric Changes in Liquid Water at Room Temperature
Yizhi Song, Xifan Wu
Understanding the pressure-dependent dielectric properties of water is crucial for a wide range of scientific and practical applications. In this study, we employ a deep neural net…
Optical absorption spectroscopy probes water wire and its ordering in a hydrogen-bond network
Fujie Tang, Diana Y. Qiu, Xifan Wu
Water wires, quasi-one-dimensional chains composed of hydrogen-bonded (H-bonded) water molecules, play a fundamental role in numerous chemical, physical, and physiological processe…