Update README.md

Author: Eipgen

README.md

@@ -44,6 +44,7 @@ this work proposed a deep learning approach to KS-DFT. First, in contrast to the
 Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions
 - [CiderPress](https://github.com/mir-group/CiderPress)  
 Tools for training and evaluating CIDER functionals for use in Density Functional Theory calculations.
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 - [ML-RPA](https://pubs.acs.org/doi/10.1021/acs.jctc.3c00848)  
 This work demonstrates how machine learning can extend the applicability of the RPA to larger system sizes, time scales, and chemical spaces.