# Transforming Adsorption-Energy Linear Correlations via Rescaling and Segmentation

## TL;DR

This paper introduces a new way to transform adsorption-energy correlations in electrocatalysts for the oxygen evolution reaction using rescaling and segmentation techniques.

## Contribution

The novelty lies in transforming entire scaling relations through rescaling and segmentation, rather than focusing on individual deviations.

## Key findings

- Rescaling changes the slope and intercept of adsorption-energy correlations.
- Segmentation splits a single correlation into two lines with opposite slopes, centered around an ideal catalyst.

## Abstract

Scaling relations between the adsorbed intermediates
of the oxygen
evolution reaction (OER) affect the efficiency of electrocatalysts.
Recent efforts have been devoted to finding individual departures
from scaling relations by numerous strategies. Beyond seeking particular
deviations, are there any means of transforming an entire scaling
relation? Here we show that the statistical nature of scaling relations
is key to their harnessing. Employing a materials data set and a collection
of high-throughput optimization techniques known as delta–epsilon
optimization, we show the transformation of adsorption-energy correlations
via rescaling and segmentation. Rescaling is a visible change in the
slope and intercept of a linear relation, whereas segmentation creates
two lines, one with a negative slope and another with a positive slope,
the hinge point being the ideal catalyst. We illustrate these two
phenomena for the scaling relations between *O, *OH, and *OOH and
discuss the implications for OER electrocatalysis.