Graph-based Quantum Response Theory and Shadow Born-Oppenheimer Molecular Dynamics
arXiv:2212.01997 · doi:10.1063/5.0137119
Abstract
Graph-based linear scaling electronic structure theory for quantum-mechanical molecular dynamics simulations is adapted to the most recent shadow potential formulations of extended Lagrangian Born-Oppenheimer molecular dynamics, including fractional molecular-orbital occupation numbers, which enables stable simulations of sensitive complex chemical systems with unsteady charge solutions. The proposed formulation includes a preconditioned Krylov subspace approximation for the integration of the extended electronic degrees of freedom, which requires quantum response calculations for electronic states with fractional occupation numbers. For the response calculations we introduce a graph-based canonical quantum perturbation theory that can be performed with the same natural parallelism and linear scaling complexity as the graph-based electronic structure calculations for the unperturbed ground state. The proposed techniques are particularly well-suited for semi-empirical electronic structure theory and the methods are demonstrated using self-consistent charge density-functional tight-binding (SCC-DFTB) theory, both for the acceleration of self-consistent field calculations and for quantum molecular dynamics simulations. The graph-based techniques combined with the semi-empirical theory enable stable simulations of large, complex chemical systems, including tens-of-thousands of atoms.
References in corpus (13)
- An Efficient and Accurate Car-Parrinello-like Approach to Born-Oppenheimer Molecular Dynamics
- Time-reversible Born-Oppenheimer molecular dynamics
- Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms
- Next generation extended Lagrangian first principles molecular dynamics
- Large scale quantum chemistry with Tensor Processing Units
- Non-monotonic recursive polynomial expansions for linear scaling calculation of the density matrix
- Mixed Precision Fermi-Operator Expansion on Tensor Cores From a Machine Learning Perspective
- Accelerating self-consistent field iterations in Kohn-Sham density functional theory using a low rank approximation of the dielectric matrix
- Efficient Parallel Linear Scaling Method to get the Response Density Matrix in All-Electron Real-Space Density-Functional Perturbation Theory
- The Challenge of Stochastic Størmer-Verlet Thermostats Generating Correct Statistics
- Notes on density matrix perturbation theory
- Semiempirical Hamiltonians learned from data can have accuracy comparable to Density Functional Theory
- Mass-Zero constrained dynamics for simulations based on orbital-free density functional theory