Fast adaptive discontinuous basis sets for electronic structure
Yulong Pan, Michael Lindsey

TL;DR
This paper introduces a flexible discontinuous Galerkin framework for adaptive basis sets in electronic structure calculations, enabling efficient, accurate, and scalable Hartree-Fock and DFT computations with structured sparsity.
Contribution
It develops a novel DG-based method for constructing adaptive basis sets that support discontinuity, structured sparsity, and efficient multigrid preconditioning for electronic structure calculations.
Findings
Achieves chemical accuracy with modest basis sizes.
Offers improved computational scalability over traditional basis sets.
Supports adaptive multigrid preconditioning for efficient eigensolvers.
Abstract
We develop a discontinuous Galerkin (DG) framework for automatically constructing adaptive basis sets for electronic structure calculations. By allowing basis functions to be discontinuous across element interfaces, our approach supports flexible combinations of atom-centered and polynomial basis sets, maintains favorable numerical conditioning, and induces structured sparsity of the one- and two-electron integrals, which we compute using specialised numerical integration strategies. In addition, we introduce a simple post-processing procedure to obtain continuous solutions if desired. We also introduce multigrid-preconditioned Poisson solvers that enable fast algorithms for both Hartree-Fock (HF) and density functional theory (DFT) calculations within our DG basis sets. Moreover, these basis sets naturally support adaptive multigrid preconditioning for the linear eigensolvers employed…
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