Time-dependent density-functional theory in massively parallel computer architectures: the octopus project

X Andrade, J Alberdi-Rodriguez… - Journal of Physics …, 2012 - iopscience.iop.org
Octopus is a general-purpose density-functional theory (DFT) code, with a particular
emphasis on the time-dependent version of DFT (TDDFT). In this paper we present the …

[HTML][HTML] Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems

N Tancogne-Dejean, MJT Oliveira… - The Journal of …, 2020 - pubs.aip.org
Over the last few years, extraordinary advances in experimental and theoretical tools have
allowed us to monitor and control matter at short time and atomic scales with a high degree …

Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems

X Andrade, D Strubbe, U De Giovannini… - Physical Chemistry …, 2015 - pubs.rsc.org
Real-space grids are a powerful alternative for the simulation of electronic systems. One of
the main advantages of the approach is the flexibility and simplicity of working directly in real …

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 …

Libxc: A library of exchange and correlation functionals for density functional theory

MAL Marques, MJT Oliveira, T Burnus - Computer physics communications, 2012 - Elsevier
The central quantity of density functional theory is the so-called exchange–correlation
functional. This quantity encompasses all non-trivial many-body effects of the ground-state …

Machine learning the physical nonlocal exchange–correlation functional of density-functional theory

J Schmidt, CL Benavides-Riveros… - The journal of physical …, 2019 - ACS Publications
We train a neural network as the universal exchange–correlation functional of density-
functional theory that simultaneously reproduces both the exact exchange–correlation …

Bridging electronic and classical density-functional theory using universal machine-learned functional approximations

MM Kelley, J Quinton, K Fazel, N Karimitari… - The Journal of …, 2024 - pubs.aip.org
The accuracy of density-functional theory (DFT) calculations is ultimately determined by the
quality of the underlying approximate functionals, namely the exchange-correlation …

Orbital-free bond breaking via machine learning

JC Snyder, M Rupp, K Hansen, L Blooston… - The Journal of …, 2013 - pubs.aip.org
Using a one-dimensional model, we explore the ability of machine learning to approximate
the non-interacting kinetic energy density functional of diatomics. This nonlinear …

Simulating pump–probe photoelectron and absorption spectroscopy on the attosecond timescale with time‐dependent density functional theory

U De Giovannini, G Brunetto, A Castro… - …, 2013 - Wiley Online Library
Molecular absorption and photoelectron spectra can be efficiently predicted with real‐time
time‐dependent density functional theory. We show herein how these techniques can be …

Ab initio angle- and energy-resolved photoelectron spectroscopy with time-dependent density-functional theory

U De Giovannini, D Varsano, MAL Marques… - Physical Review A …, 2012 - APS
We present a time-dependent density-functional method able to describe the photoelectron
spectrum of atoms and molecules when excited by laser pulses. This computationally …