New preprint from our team: https://arxiv.org/abs/2409.04372

A new algorithm for computing #material properties in #densityfunctionaltheory (#dft) based on inexact #krylov methods: we safe 40% computational cost by an adaptive selection of convergence tolerances inspired from #mathematical analysis.

#condensedmatter #planewave #dfpt #response #physics #simulation #computation

Kohn-Sham inversion with mathematical guarantees

We use an exact Moreau-Yosida regularized formulation to obtain the exchange-correlation potential for periodic systems. We reveal a profound connection between rigorous mathematical principles and efficient numerical implementation, which marks the first computation of a Moreau-Yosida-based inversion for physical systems. We develop a mathematically rigorous inversion algorithm which is demonstrated for representative bulk materials, specifically bulk silicon, gallium arsenide, and potassium chloride. Our inversion algorithm allows the construction of rigorous error bounds that we are able to verify numerically. This unlocks a new pathway to analyze Kohn-Sham inversion methods, which we expect in turn to foster mathematical approaches for developing approximate functionals.

arXiv.org

🎉 Congratulations to Martin Trappe & Ryan Chisholm for their paper in Nature Communications!

They used density functional theory from physics to make spatial ecosystem models. This general computational framework makes predictions that are as good as specialised models on systems from predatory microbes to territorial flies to trees

https://rdcu.be/c6vQP

#physics #ecology #ecosystem #modelling #modeling #functionals #DFTe #densityfunctionaltheory #computationalphysics #quantummechanics