Nuclear Quantum Effect and Its Temperature Dependence in Liquid Water from Random Phase Approximation via Artificial Neural Network
Yi Yao, Yosuke Kanai
Abstract
We report structural and dynamical properties of liquid water described by the random phase approximation (RPA) correlation together with the exact exchange energy (EXX) within density functional theory. By utilizing thermostated ring polymer molecular dynamics, we examine the nuclear quantum effects and their temperature dependence. We circumvent the computational limitation of performing direct first-principles molecular dynamics simulation at this high level of electronic structure theory by adapting an artificial neural network model. We show that the EXX+RPA level of theory accurately describes liquid water in terms of both dynamical and structural properties.
Topics & Concepts
Random phase approximationStatistical physicsArtificial neural networkPhase (matter)QuantumLiquid waterDensity functional theoryMolecular dynamicsPhysicsQuantum mechanicsThermodynamicsComputer scienceMachine learningSpectroscopy and Quantum Chemical StudiesQuantum, superfluid, helium dynamicsAdvanced NMR Techniques and Applications