146 citations · 355 across the 4 of their papers we have counts for
4 papers
Viscosity in water from first-principles and deep-neural-network simulations
Cesare Malosso, Linfeng Zhang, Roberto Car +2
We report on an extensive study of the viscosity of liquid water at near-ambient conditions, performed within the Green-Kubo theory of linear response and equilibrium ab initio mol…
Heat transport in liquid water from first-principles and deep-neural-network simulations
Davide Tisi, Linfeng Zhang, Riccardo Bertossa +3
We compute the thermal conductivity of water within linear response theory from equilibrium molecular dynamics simulations, by adopting two different approaches. In one, the potent…
Raman Spectrum and Polarizability of Liquid Water from Deep Neural Networks
Grace M. Sommers, Marcos F. Calegari Andrade, Linfeng Zhang +2
We introduce a scheme based on machine learning and deep neural networks to model the environmental dependence of the electronic polarizability in insulating materials. Application…
Isotope Effects in Liquid Water via Deep Potential Molecular Dynamics
Hsin-Yu Ko, Linfeng Zhang, Biswajit Santra +4
A comprehensive microscopic understanding of ambient liquid water is a major challenge for simulations as it simultaneously requires an accurate quantum mechanical de…