In a recent study, scientists integrated machine learning with DFT calculations to map the C-H dissociation process on single-atom alloy surfaces. Their extensive database offers valuable insights into methane decomposition and efficient hydrogen production. Researchers like Weiqiao Deng demonstrate how precise catalyst design can reshape energy solutions.

Q&A

  • What is DFT?
  • How does machine learning improve catalyst design?
  • Why is methane decomposition important for hydrogen production?
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