ArticleJournal of chemical theory and computation2021
Photoinduced Desorption Dynamics of CO from Pd(111): A Neural Network Approach.
Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Machine learning and data-driven methods in computational surface and interface science.npj computational materials · 2025Review
- Understanding the Photoinduced Desorption and Oxidation of CO on Ru(0001) Using a Neural Network Potential Energy Surface.JACS Au · 2024Article
- Multicoverage Study of Femtosecond Laser-Induced Desorption of CO from Pd(111).The journal of physical chemistry letters · 2024Article
- Disentangling the role of electrons and phonons in the photoinduced CO desorption and CO oxidation on (O,CO)-Ru(0001).Frontiers in chemistry · 2023Article
- Why Ultrafast Photoinduced CO Desorption Dominates over Oxidation on Ru(0001).The journal of physical chemistry letters · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modeling the ultrafast photoinduced dynamics and reactivity of adsorbates on metals requires including the effect of the laser-excited electrons and, in many cases, also the effect of the highly excited surface lattice. Although the recent ab initio molecular dynamics with electronic friction and thermostats, (
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Registered trials
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