Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Slater integrals are two dimensional radial integrals whose integrand is constructed from normalized eigenfunctions of the Schroodinger equation. These integrals occur in many atomic structure and scattering computations. Hover, in 2-dimensional R-matrix propagation they represent a significant computational bottleneck. The problem involves two steps: numerical solution of the Schroodinger equation follod by computation of the Slater integrals. By exploiting the oscillatory nature of solutions of the Schroodinger equation  have devised a two stage computational strategy where the second stage is influenced and informed by the first. In particular,  have developed extended frequency dependent quadrature rules (EFDQR) that both improves the accuracy of the integrals and results in a performance gain of over two orders of magnitude.
['Norman Stanley Scott', 'M. Penny Scott', 'Liviu Gr. Ixaru', 'Christophe Denis']
I am writing a research paper on a idea 2DRMP: fast computation of the Slater integrals
[{"from": "human", "value": "I am writing a research paper on a idea 2DRMP: fast computation of the Slater integrals"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Slater integrals are two dimensional radial integrals whose integrand is constructed from normalized eigenfunctions of the Schroodinger equation. These integrals occur in many atomic structure and scattering computations. Hover, in 2-dimensional R-matrix propagation they represent a significant computational bottleneck. The problem involves two steps: numerical solution of the Schroodinger equation follod by computation of the Slater integrals. By exploiting the oscillatory nature of solutions of the Schroodinger equation  have devised a two stage computational strategy where the second stage is influenced and informed by the first. In particular,  have developed extended frequency dependent quadrature rules (EFDQR) that both improves the accuracy of the integrals and results in a performance gain of over two orders of magnitude."}]