Structure-based materials informatics workflow Inspired by fig. 1 in https://doi.org/10.1016/j.cpc.2019.106949.
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% Structure-based materials informatics workflow % Inspired by fig. 1 in https://doi.org/10.1016/j.cpc.2019.106949. \documentclass[tikz]{standalone} \usetikzlibrary{positioning, arrows.meta, calc} \begin{document} \begin{tikzpicture}[ neuron/.style={circle,fill=black!25,minimum size=20,inner sep=0}, label/.style={font=\large\bfseries, minimum size=3em}, arrow/.style={>={LaTeX[width=5mm,length=5mm]}, ->, line width=1ex, gray, shorten <=1em, shorten >=1em}, ] \begin{scope}[local bounding box=struct] \node[ball color=black!75, circle, white, scale=1.3] (C1) at (0, 0) {C}; \node[ball color=black!75, circle, white, scale=1.3] (C2) at (0, -1.5) {C}; \node[ball color=blue!75, circle, scale=1.3] (N1) at (-0.5, 1.5) {N}; \node[ball color=red!75, circle, scale=1.3] (O1) at (1.8, 0.5) {O}; \node[ball color=white, circle] (H1) at (1.5, -2.5) {H}; \node[ball color=white, circle] (H2) at (0, -3) {H}; \node[ball color=white, circle] (H3) at (-1.5, -2.5) {H}; \node[ball color=white, circle] (H4) at (-2, 0.75) {H}; \node[ball color=white, circle] (H5) at (1, 2) {H}; \draw[gray, line width=1mm] (H1) -- (C2) -- (C1) -- (N1) (C1) -- (O1) (H2) -- (C2) (H3) -- (C2) (N1) -- (H4) (N1) -- (H5); \end{scope} % \draw[rounded corners=1em, thick] (current bounding box.south west)++(-1,-1) rectangle (current bounding box.north east); \node[label] at (0,-4.5) (structure) {Molecular Structure\vphantom{p}}; \node[label, right=4.5cm of structure] (descriptor) {Descriptor}; \node[label, right=6cm of descriptor] (model) {Model}; \node[label, right=4.5cm of model] (property) {Property}; \node[scale=7, above=1.8cm of property] (alpha) {$\alpha$}; \begin{scope}[shift={($(struct.east)+(2.5,0)$)}, scale=0.6, local bounding box=desc] \foreach \y [count=\n] in { {74,25,39,20,3,3,3,3,3}, {25,53,31,17,7,7,2,3,2}, {39,31,37,24,3,3,3,3,3}, {20,17,24,37,2,2,6,5,5}, {3,7,3,2,0,1,0,0,0}, {3,7,3,2,1,0,0,0,0}, {3,2,3,6,0,0,0,1,1}, {3,3,3,5,0,0,1,0,1}, {3,2,3,5,0,0,1,1,0}, } { \foreach \x [count=\m] in \y { \node[fill=yellow!\x!purple, minimum size=6mm, text=white] at (\m,5-\n) {\x}; } } \end{scope} \begin{scope}[shift={($(desc.east)+(3,2.5)$)}, local bounding box=mod] \def\layersep{2.5} % Input layer \foreach \y in {1,2,3} \node[neuron, fill=teal!60] (i\y) at (0,-\y-0.5) {$i\y$}; % Hidden layer \foreach \y in {1,...,4} \path node[neuron, fill=blue!50] (h\y) at (\layersep,-\y) {$h\y$}; % Output node \node[neuron, fill=orange!60] (o) at (2*\layersep,-2.5) {$o$}; % Connect every node in the input layer with every node in the hidden layer. \foreach \source in {1,2,3} \foreach \dest in {1,...,4} \path (i\source) edge (h\dest); % Connect every node in the hidden layer with the output layer \foreach \source in {1,...,4} \path (h\source) edge (o); \end{scope} \draw[arrow] (struct.east) -- ++(2.5,0); \draw[arrow] (desc.east) -- ++(2.5,0); \draw[arrow] (mod.east) -- ++(2.5,0); \end{tikzpicture} \end{document}
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See more on the author page of Janosh Riebesell..