A Kernel-based Machine Learning Approach to Computing Quasiparticle Energies within Many-Body Green's Functions Theory
We present a Kernel Ridge Regression (KRR) based supervised learning method combined with Genetic Algorithms (GAs) for the calculation of quasiparticle energies within Many-Body Green's Functions Theory. These energies representing electronic excitations of a material are solutions to a set of...
Saved in:
Main Authors | , , |
---|---|
Format | Journal Article |
Language | English |
Published |
03.12.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!