deletions | additions       diff --git a/cuprates2.tex b/cuprates2.tex  index 51e84ea..e093bfc 100644  --- a/cuprates2.tex  +++ b/cuprates2.tex 
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Rather than designing novel cuprates from scratch, we took an intermediate route: begin with the family with the highest known transition temperatures, the Hg-based cuprates, and modulate its spacer layers. Using materials databases, we were able to efficiently screen through hundreds of proposed compositions to arrive at the most plausible candidates.  We shuffled Our goals required that we shuffle  the order of the workflow: we began with a universe of 333 proposed compositions, and narrowed them down to a handful for which we could perform structural prediction. Once we had the structure, we then checked its global stability, and finally computed its electronic structure. We describe the process below. \emph{Structure prediction} -- Taking the Hg-based cuprates as an example (Fig.~\ref{fig:stack}), we viewed the cuprates as a stack of functional layers, with the composition of each layer chosen to play a specific role. The central copper oxide (CuO$_2$) plane supports superconductivity and roughly constrains the in-plane lattice constant. The remaining layers must tune the chemical potential of the CuO$_2$ layer without rumpling the plane or introducing disorder, and isolate each CuO$_2$ plane to create a 2D system.