Evidence map›Paper›PMID 40502979›Full record

ArticleACS catalysis2025

Free-Energy Landscapes and Surface Dynamics in Methane Activation on Ni(511) via Machine Learning and Enhanced Sampling.

Yezhi Jin, Yinan Xu, Jireh S García Sánchez, Gustavo R Pérez-Lemus, Pablo F Zubieta Rico, Massimiliano Delferro, Juan J de Pablo

Abstract read
In one paragraph

Article in ACS catalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yezhi JinPritzker School of Molecular Engineering, The University of Chicago, 640 S Ellis Avenue, Chicago, Illinois 60637, United States.
Yinan XuPritzker School of Molecular Engineering, The University of Chicago, 640 S Ellis Avenue, Chicago, Illinois 60637, United States.ORCID https://orcid.org/0000-0002-5824-3502
Jireh S García SánchezPritzker School of Molecular Engineering, The University of Chicago, 640 S Ellis Avenue, Chicago, Illinois 60637, United States.
Gustavo R Pérez-LemusPritzker School of Molecular Engineering, The University of Chicago, 640 S Ellis Avenue, Chicago, Illinois 60637, United States.
Pablo F Zubieta RicoPritzker School of Molecular Engineering, The University of Chicago, 640 S Ellis Avenue, Chicago, Illinois 60637, United States.ORCID https://orcid.org/0000-0002-1211-4836
Massimiliano DelferroChemical Sciences and Engineering Division, Argonne National Laboratory, 9700 S Cass Avenue, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-4443-165X
Juan J de PabloDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, 6 MetroTech Center, Brooklyn, New York 11201, United States.ORCID https://orcid.org/0000-0002-3526-516X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methane activation on stepped Ni(511) surfaces involves the rearrangement of surface atoms as the chemical reaction proceeds. This process is particularly sensitive to temperature. Using machine-learned interatomic potentials (MLIPs) coupled with enhanced sampling techniques, we investigate the activation of methane under realistic operando conditions. Our analysis reveals that methane dissociation occurs predominantly at step-edge nickel atoms. As CH

Indexed as

dynamic samplingentropy effects in catalysismachine-learned interatomic potentialsmethane activationsurface defectstransition metal catalysts

Identifiers

PMID40502979
PMCPMC12150266

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.