Solving quasiparticle band spectra of real solids using neural-network quantum states

Abstract

Designing computational methods that can accurately predict useful material properties is an attractive alternative to cumbersome trial and error experimental approaches. Here, the authors present a computational method based on neural-network quantum states, which can reveal many-body quantum phenomena of a solid state system similar to first-principles calculations.