
New computational architectures based on topological materials have been proposed that could be faster with simultaneously lower energy consumption.
New computational architectures based on topological materials have been proposed that could be faster with simultaneously lower energy consumption.
The concept of “frustration” in spin systems is widely used to stabilize new states in thin films or crystals. Frustration indicates that spins have conflicting tendencies and a compromise spin state emerges from this competition.
Kagome lattice (the name of kagome came from Japanese woven baskets) consists of interconnected triangles.
Ni3In2S2 is an example of a kagome metal, with nickel atoms in corner sharing triangles arranged in a 2D kagome lattice.
Scanning tunneling microscopy (STM) and point contact Andreev reflection (PCAR) are widely adopted techniques for measurements of superconducting states.
Spiral spin-liquids are correlated paramagnetic states with degenerate propagation vectors forming a continuous ring or surface in reciprocal space.
Researchers discovered a mechanism for creating novel electronic materials by reversible phase transformations of the perovskite oxygen sublattice.1 The reversible tuning of the oxygen sublattice greatly expands the parameter space of magnetic and elect
Metallic glasses are promising as structural materials because of high mechanical strength, but they often lack ductility, limiting their application. However, the origin of the low ductility is not well-understood.
Manipulating the type and degree of spin and exchange disorder in a crystal lattice provides new design principles to create highly tunable magnetic order.
Practical applications of the real-space diffusion Monte Carlo (DMC) method require the removal of core electrons, where currently localization approximations of semilocal potentials are generally used in the projector.