DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

AM Teale, T Helgaker, A Savin, C Adamo… - Physical chemistry …, 2022 - pubs.rsc.org
In this paper, the history, present status, and future of density-functional theory (DFT) is
informally reviewed and discussed by 70 workers in the field, including molecular scientists …

Density functionals based on the mathematical structure of the strong‐interaction limit of DFT

S Vuckovic, A Gerolin, KJ Daas… - Wiley …, 2023 - Wiley Online Library
While in principle exact, Kohn–Sham density functional theory—the workhorse of
computational chemistry—must rely on approximations for the exchange–correlation …

[图书][B] An invitation to optimal transport, Wasserstein distances, and gradient flows

A Figalli, F Glaudo - 2023 - ems.press
In this introductory chapter we first give a brief historical review of optimal transport, then we
recall some basic definitions and facts from measure theory and Riemannian geometry, and …

On the linear convergence of the multimarginal Sinkhorn algorithm

G Carlier - SIAM Journal on Optimization, 2022 - SIAM
The aim of this note is to give an elementary proof of linear convergence of the Sinkhorn
algorithm for the entropic regularization of multimarginal optimal transport in the setting of …

Fast geometric learning with symbolic matrices

J Feydy, A Glaunès, B Charlier… - Advances in Neural …, 2020 - proceedings.neurips.cc
Geometric methods rely on tensors that can be encoded using a symbolic formula and data
arrays, such as kernel and distance matrices. We present an extension for standard machine …

The strong-interaction limit of density functional theory

G Friesecke, A Gerolin, P Gori-Giorgi - Density Functional Theory …, 2022 - Springer
This is a comprehensive review of the strong-interaction limit of density functional theory. It
covers the derivation of the limiting strictly correlated electrons (SCE) functional from exact …

Hardness results for multimarginal optimal transport problems

JM Altschuler, E Boix-Adsera - Discrete Optimization, 2021 - Elsevier
Abstract Multimarginal Optimal Transport (MOT) is the problem of linear programming over
joint probability distributions with fixed marginals. A key issue in many applications is the …

Optimal transportation, modelling and numerical simulation

JD Benamou - Acta Numerica, 2021 - search.proquest.com
Optimal transportation, modelling and numerical simulation Optimal transportation, modelling
and numerical simulation Abstract We present an overviewof the basic theory, modern optimal …

An explicit analysis of the entropic penalty in linear programming

J Weed - Conference On Learning Theory, 2018 - proceedings.mlr.press
Solving linear programs by using entropic penalization has recently attracted new interest in
the optimization community, since this strategy forms the basis for the fastest-known …

Smoothing of transport plans with fixed marginals and rigorous semiclassical limit of the Hohenberg–Kohn functional

C Cotar, G Friesecke, C Klüppelberg - Archive for Rational Mechanics and …, 2018 - Springer
We prove rigorously that the exact N-electron Hohenberg–Kohn density functional
converges in the strongly interacting limit to the strictly correlated electrons (SCE) functional …