Beyond Density Functional Approximations by Lessons From Density Functional Theory

Explore innovative approaches to density functional theory in this 58-minute lecture by Andreas Savin from Sorbonne Université. Delve into new frameworks for designing approximations that go beyond traditional density functional methods. Examine two alternative strategies for correcting model errors: extrapolating from a family of models and exploiting a generalization of Kato's cusp condition. Discover how these approaches compare to conventional density functional approximations in terms of accuracy and applicability. Gain insights into the potential benefits and limitations of these novel techniques, including their computational costs and current scope of application in electronic systems.