Synthical logo
Synthical
Your space
Activity icon
Activity
Favorites icon
Favorites
Account icon
Account
Folders
Feeds
From chemRxiv
MIT

Computational Discovery of Codoped Single-Atom Catalysts for Methane-to-Methanol Conversion

The absence of a synthetic catalyst that can selectively oxidize methane to methanol motivates extensive study of single-site catalysts that possess a high degree of tunability in their coordination environments and share similarities with natural enzymes that can catalyze this reaction. Single-atom catalysts (SACs), and in particular doped graphitic SACs, have emerged as a promising family of materials due to their high atom economy and scalability, but SACs have yet to be exhaustively screened for methane-to-methanol conversion. Modulating the coordination environment near single metal sites by means of codopants, we carry out a large-scale high-throughput virtual screen of 2,048 transition metal (i.e., Mn, Fe, Co, and Ru) SACs codoped with various elements (i.e, N, O, P and S) in numerous spin and oxidation (i.e., M(II)/M(III)) states for the challenging conversion of methane to methanol. We identify that ground state preference is metal- and oxidation-state dependent. We observe a weak negative correlation between the oxo formation energy (ΔE(oxo)) and the energy of hydrogen atom transfer (ΔE(HAT)) thanks to the high variation of the coordination environment. Therefore, codoped SACs demonstrate flexible tunability that disrupts linear free energy relationships in a similar manner to homogeneous catalysts without losing the high scalability of heterogeneous catalysts. We identify energetically favorable catalyst candidates along the Pareto frontier of ΔE(oxo) and ΔE(HAT). Further kinetic analysis reveals an intermediate-spin Fe(II) SAC and a low-spin Ru(II) SAC as promising candidates that merit further experimental exploration.
Upvote icon
Simplify
Published on November 17, 2023
Copy BibTeX
Loading...
Cross iconSummary
There is no AI-powered summary yet, because we do not have a budget to generate summaries for all articles.
1. Buy subscription
We will thank you for helping thousands of people to save their time at the top of the generated summary.
If you buy our subscription, you will be able to summarize multiple articles.
Pay $8
≈10 summaries
Pay $32
≈60 summaries
2. Share on socials
If this article gets to top-5 in trends, we'll summarize it for free.
Copy link
Content
Summary