Although computational
prediction of new ice phases is a niche
field in water science, the scientific subject itself is representative
of two important areas in physical chemistry, namely, statistical
thermodynamics and molecular simulations. The prediction of a variety
of novel ice phases has also attracted general public interest since
the 1980s. In particular, the prediction of low-dimensional ice phases
has gained momentum since the confirmation of a number of low-dimensional
“computer ice” phases in the laboratory over the past
decade. In this Perspective, the research advancements in computational
prediction of novel ice phases over the past few years are reviewed.
Particular attention is placed on new ice phases whose physical properties
or dimensional structures are distinctly different from conventional
bulk ices. Specific topics include the (i) formation of superionic
ices, (ii) electrofreezing of water under high pressure and in a high
external electric field, (iii) prediction of low-density porous ice
at strongly negative pressure, (iv) ab initio computational
study of two-dimensional (2D) ice under nanoscale confinement, and
(v) 2D ices formed on a solid surface near ambient temperature without
nanoscale confinement. Clearly, the formation of most of these novel
ice phases demands certain extreme conditions. Ongoing challenges
and new opportunities for predicting new ice phases from either classical
molecular dynamics simulation or high-level ab initio computation are discussed.