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Structure of solids and liquids is the study of the physical properties of matter in which there is a non-negligible interaction between the constituent atoms or molecules. While the atoms or molecules in a liquid are free to move around, those in solids are limited to vibrating about a fixed point.
The atomic reconstruction and stacking arrangement in twisted trilayer graphene with a range of varying twist angles are elucidated by four-dimensional scanning transmission electron microscopy, revealing the hierarchical moiré of moiré superstructures that govern the structural symmetry at different length scales.
Ageing is a non-linear, irreversible process that defines many properties of glassy materials. Now, it is shown that the so-called material-time formalism can describe ageing in terms of equilibrium-like properties.
Exploring and exploiting electric dipole arrangements analogously to what is possible with magnetic spin textures is an emerging prospect. Now a spontaneous toroidal polar topology is observed in ferroelectric liquid crystals.
3He behaves like a Fermi liquid but only at very low temperatures. Here the authors re-examine thermal transport data, arguing that the breakdown of the Fermi liquid occurs when the scattering time falls below the Planckian time and suggesting that heat is partially carried by a collective hydrodynamic sound mode.
The atomic reconstruction and stacking arrangement in twisted trilayer graphene with a range of varying twist angles are elucidated by four-dimensional scanning transmission electron microscopy, revealing the hierarchical moiré of moiré superstructures that govern the structural symmetry at different length scales.
Ageing is a non-linear, irreversible process that defines many properties of glassy materials. Now, it is shown that the so-called material-time formalism can describe ageing in terms of equilibrium-like properties.
Two-dimensional crystals have revolutionized fundamental research across a staggering range of disciplines. We take stock of the progress gained after twenty years of work.
Machine learning interatomic potentials (MLIPs) enable materials simulations at extended length and time scales with near-ab initio accuracy. They have broad applications in the study and design of materials. Here, we discuss recent advances, challenges, and the outlook for MLIPs.
By monitoring the lattice dynamics of single-crystal argyrodite Ag8SnSe6 through the superionic transition, low thermal conductivity and ionic transport are found to arise from extreme phonon anharmonicity.