In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Modern microscopic techniques following the stochastic motion of labelled tracer particles
have uncovered significant deviations from the laws of Brownian motion in a variety of …

Metamaterial-based optical cloaks have thus far used volumetric distribution of the material
properties to gradually bend light and thereby obscure the cloaked region. Hence, they are …

Applications of neural networks to condensed matter physics are becoming popular and
beginning to be well accepted. Obtaining and representing the ground and excited state …

While the three-dimensional Ising model has defied analytic solution, various numerical
methods like Monte Carlo, Monte Carlo renormalization group, and series expansion have …

It has recently been discovered that random quantum circuits provide an avenue to realize
rich entanglement phase diagrams, which are hidden to standard expectation values of …

Relaxor-ferroelectrics are fascinating and useful materials, but the mechanism of relaxor-
ferroelectricity has been puzzling the scientific community for more than 65 years. Here, a …

Low energy inelastic neutron scattering on single crystals of the kagome spin-liquid
compound ZnCu 3 (OD) 6 Cl 2 (herbertsmithite) reveals antiferromagnetic correlations …

Metallic glasses are metallic alloys that exhibit exotic material properties. They may have
fractal structures at the atomic level, but a physical mechanism for their organization without …

We simulate the bond and site percolation models on several three-dimensional lattices,
including the diamond, body-centered cubic, and face-centered cubic lattices. As on the …