Heterogeneous catalyst design by generative adversarial network and first-principles based microkinetics
Abstract Microkinetic analysis based on density functional theory (DFT) was combined with a generative adversarial network (GAN) to enable the artificial proposal of heterogeneous catalysts based on the DFT-calculated dataset. The approach was applied to the NH3 formation reaction on Rh−Ru alloy sur...
Main Author: | Atsushi Ishikawa |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-15586-9 |
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