Nanothermodynamics of Hydrogenated Diamond Clusters: Size-Dependent Transition Pressures and Stability

Nanodiamonds hold promise for quantum sensing, tribology, and biomedicine, but their controlled synthesis at atmospheric pressure remains limited due to poor understanding of how surface chemistry governs nanoscale sp3 carbon stability. Hydrogen adsorption offers an alternative to extreme thermobaric processes, yet the role of cluster size, face composition, and morphology on the sp2–sp3 boundary has not been quantified. Here we develop a machine learning potential trained on ab initio data via active learning to compute phase transition pressures and formation energies for hydrogenated diamond clusters (1–10 nm) with {111}, {110}, and {101̅0}/{0001} facets. The results indicate hydrogenation alone stabilizes nanodiamonds up to ∼10 nm. Notably, elongated nanorods maintain negative formation energies over a wide diameter range, avoiding convergence to the bulk diamond-graphite difference. These results map the nanothermodynamic stability of sp2–sp3 transformations and provide quantitative guidelines for synthesizing nanodiamonds and diamond nanowires from hydrogenated graphite precursors.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-05-19
DOI
https://doi.org/10.1021/acs.jpclett.6c01034
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Nanothermodynamics of Hydrogenated Diamond Clusters: Size-Dependent Transition Pressures and Stability

The Journal of Physical Chemistry Letters
Diamond and Carbon-based Materials Research
article

Nanothermodynamics of Hydrogenated Diamond Clusters: Size-Dependent Transition Pressures and Stability

article en

Abstract

Nanodiamonds hold promise for quantum sensing, tribology, and biomedicine, but their controlled synthesis at atmospheric pressure remains limited due to poor understanding of how surface chemistry governs nanoscale sp3 carbon stability. Hydrogen adsorption offers an alternative to extreme thermobaric processes, yet the role of cluster size, face composition, and morphology on the sp2–sp3 boundary has not been quantified. Here we develop a machine learning potential trained on ab initio data via active learning to compute phase transition pressures and formation energies for hydrogenated diamond clusters (1–10 nm) with {111}, {110}, and {101̅0}/{0001} facets. The results indicate hydrogenation alone stabilizes nanodiamonds up to ∼10 nm. Notably, elongated nanorods maintain negative formation energies over a wide diameter range, avoiding convergence to the bulk diamond-graphite difference. These results map the nanothermodynamic stability of sp2–sp3 transformations and provide quantitative guidelines for synthesizing nanodiamonds and diamond nanowires from hydrogenated graphite precursors.

The Journal of Physical Chemistry Letters
National University of Science and Technology (RU)
Russian Science Foundation
Openalex Percentile: Top 10%
Diamond and Carbon-based Materials Research
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