Superhydrophobic materials used for anti-icing Theory, application, and development

H He, Z Guo - Iscience, 2021 - cell.com
The accumulation of ice will reduce the performance of the base material and lead to all
kinds of damage, even a threat to people's life safety. Recent increasing studies suggest that …

Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence

ER Beyerle, Z Zou, P Tiwary - Current Opinion in Solid State and Materials …, 2023 - Elsevier
With the advent of faster computer processors and especially graphics processing units
(GPUs) over the last few decades, the use of data-intensive machine learning (ML) and …

Ab initio phase diagram and nucleation of gallium

H Niu, L Bonati, PM Piaggi, M Parrinello - Nature communications, 2020 - nature.com
Elemental gallium possesses several intriguing properties, such as a low melting point, a
density anomaly and an electronic structure in which covalent and metallic features coexist …

Homogeneous ice nucleation in an ab initio machine-learning model of water

PM Piaggi, J Weis… - Proceedings of the …, 2022 - National Acad Sciences
Molecular simulations have provided valuable insight into the microscopic mechanisms
underlying homogeneous ice nucleation. While empirical models have been used …

Unified approach to enhanced sampling

M Invernizzi, PM Piaggi, M Parrinello - Physical Review X, 2020 - APS
The sampling problem lies at the heart of atomistic simulations and over the years many
different enhanced sampling methods have been suggested toward its solution. These …

Driving and characterizing nucleation of urea and glycine polymorphs in water

Z Zou, ER Beyerle, ST Tsai… - Proceedings of the …, 2023 - National Acad Sciences
Crystal nucleation is relevant across the domains of fundamental and applied sciences.
However, in many cases, its mechanism remains unclear due to a lack of temporal or spatial …

Phase equilibrium of water with hexagonal and cubic ice using the scan functional

PM Piaggi, AZ Panagiotopoulos… - Journal of Chemical …, 2021 - ACS Publications
Machine learning models are rapidly becoming widely used to simulate complex
physicochemical phenomena with ab initio accuracy. Here, we use one such model as well …

Anisotropic Collective Variables with Machine Learning Potential for Ab Initio Crystallization of Complex Ceramics

Y Deng, S Fu, J Guo, X Xu, H Li - ACS nano, 2023 - ACS Publications
Enhanced sampling molecular dynamics (MD) simulations have been extensively used in
the phase transition study of simple crystalline materials, such as aluminum, silica, and ice …

Temperature-dependent kinetic pathways of heterogeneous ice nucleation competing between classical and non-classical nucleation

C Li, Z Liu, EC Goonetilleke, X Huang - Nature Communications, 2021 - nature.com
Ice nucleation on the surface plays a vital role in diverse areas, ranging from physics and
cryobiology to atmospheric science. Compared to ice nucleation in the bulk, the water …

Homogeneous nucleation rate of methane hydrate formation under experimental conditions from seeding simulations

J Grabowska, S Blazquez, E Sanz, EG Noya… - The Journal of …, 2023 - pubs.aip.org
In this work, we shall estimate via computer simulations the homogeneous nucleation rate
for the methane hydrate at 400 bars for a supercooling of about 35 K. The TIP4P/ICE model …