GAME-Net: a graph neural network for fast evaluation of the adsorption energy in heterogeneous catalysis

EurekAlert!·May 2

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A graph neural network, referred to as GAME-Net, has been developed for the fast evaluation of adsorption energy in heterogeneous catalysis. Other research has also explored the use of graph neural networks for various applications, including predicting the adsorption energy of molecules on metal surfaces. The specific capabilities and applications of GAME-Net and related graph neural networks are still being reported, with some outlets discussing their use in fields beyond catalysis.

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