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Research PaperResearchia:202610.20029

A boundary integral method for computing electron repulsion integrals in heterogeneous dielectric environments

Xuanzhao Gao

Abstract

We present a boundary integral method for evaluating electron repulsion integrals (ERIs) in dielectric environments of piecewise constant permittivity. This generalizes conventional bare-Coulomb ERIs by incorporating screening from structured dielectric surroundings, such as the substrates and/or encapsulating layers present in modern two-dimensional-material devices. We formulate the problem as a second-kind boundary integral equation for the induced surface charge on the dielectric interfaces,...

Submitted: October 20, 2026Subjects: Mathematics; Mathematics

Description / Details

We present a boundary integral method for evaluating electron repulsion integrals (ERIs) in dielectric environments of piecewise constant permittivity. This generalizes conventional bare-Coulomb ERIs by incorporating screening from structured dielectric surroundings, such as the substrates and/or encapsulating layers present in modern two-dimensional-material devices. We formulate the problem as a second-kind boundary integral equation for the induced surface charge on the dielectric interfaces, and discretize it with a Nyström method on adaptively refined panels. The incident potential generated by each smooth orbital source density is evaluated by a Fourier truncated-kernel method in or near to its source box, and by fast multipole method (FMM) accelerated quadrature farther away. The linear system is solved by a Krylov iteration also accelerated by the FMM. We focus on cuboidal device geometries, and retain efficiency at high aspect ratios via close-to-touching panel quadratures. We further develop a distributed pipeline that computes the full ERI tensor, comprising thousands of orbital pairs, embedded in a single dielectric geometry. We demonstrate the method on an effective three-layer graphene slab over a Si/SiO2_2 heterojunction, focusing on the central graphene layer represented by 198198 pzp_z-like orbitals, retaining the 261322613^2 non-negligible entries of the 1984198^4-sized ERI tensor. The model is resolved on 1.31.3 million surface unknowns, achieving a relative error of 0.004%0.004\%, at a cost of 2222 node-hours.


Source: arXiv:2610.26745v1 - http://arxiv.org/abs/2610.26745v1 PDF: https://arxiv.org/pdf/2610.26745v1 Original Link: http://arxiv.org/abs/2610.26745v1

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Date:
Oct 20, 2026
Topic:
Mathematics
Area:
Mathematics
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