Nonparametric Bayesian approach to extrapolation problems in configuration interaction methods
By: Researcher
Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
Please contact us in case of a broken link from here
| Authors | Sota Yoshida |
| Journal/Conference Name | Physical Review C |
| Paper Category | Nuclear and High Energy Physics |
| Paper Abstract | We propose a non-parametric extrapolation method based on constrained Gaussian processes for configuration interaction methods. Our method has many advantages (i) applicability to small data sets such as results of {\it ab initio} methods, (ii) flexibility to incorporate constraints, which are guided by physics, into the extrapolation model, (iii) providing predictions with quantified extrapolation uncertainty, etc. In the present study, we show an application to the extrapolation needed in full configuration interaction method as an example. |
| Date of publication | 2020 |
| Code Programming Language | Julia |
| Comment |
Copyright Researcher 2021