Active spin state-derived descriptor for hydrogen evolution activity in 2D transition metal dichalcogenides

Spin states are pivotal in modulating the electrocatalytic activity of transition metal (TM)-based compounds, yet quantitatively evaluating the activity-spin state correlation remains a formidable challenge. Here, we propose an “activity index (η)” as a descriptor, to assess the activity of the spin states for the hydrogen evolution reaction (HER). η descriptor integrates three key electronic parameters: the proportion (P), broadening range (R), and center (εact) of the active spin state, which collectively account for the electronic structure modulation induced by both the intrinsic active site and its local coordination environment. Using 1T-phase ZrSe2-anchored TM atoms (TM = Sc to Ni) as prototypes, we reveal that the correlation between Gibbs free energy (ΔGH) and the η value follows a linear relation—ΔGH reduces as η decreases. Notably, ZrSe2-Mn exhibits the optimal η value (−0.56), corresponding to the best HER activity with a ΔGH of −0.04 eV—closer to the thermoneutral ideal value (0 eV) than even Pt (ΔGH = −0.09 eV). This relationship suggests that η is an effective descriptor of the active spin state for HER of TM-based catalysts. Our study establishes a quantitative correlation between HER activity and spin polarization, enabling performance prediction through spin-resolved physical descriptor.

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Journal
Applied Physics Letters
Published
2025-10-20
DOI
https://doi.org/10.1063/5.0278112
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Active spin state-derived descriptor for hydrogen evolution activity in 2D transition metal dichalcogenides

Qiaoling Wang, Gui‐Fang Huang, Tao Huang, Yu Shyang Tan et al.
Applied Physics Letters
Machine Learning in Materials Science
article

Active spin state-derived descriptor for hydrogen evolution activity in 2D transition metal dichalcogenides

Qiaoling Wang, Gui‐Fang Huang, Tao Huang, Yu Shyang Tan, Wangyu Hu, Wei‐Qing Huang, Lei Li, Junhang Luo, Zixuan Yang, Tao Zhang
article en

Abstract

Spin states are pivotal in modulating the electrocatalytic activity of transition metal (TM)-based compounds, yet quantitatively evaluating the activity-spin state correlation remains a formidable challenge. Here, we propose an “activity index (η)” as a descriptor, to assess the activity of the spin states for the hydrogen evolution reaction (HER). η descriptor integrates three key electronic parameters: the proportion (P), broadening range (R), and center (εact) of the active spin state, which collectively account for the electronic structure modulation induced by both the intrinsic active site and its local coordination environment. Using 1T-phase ZrSe2-anchored TM atoms (TM = Sc to Ni) as prototypes, we reveal that the correlation between Gibbs free energy (ΔGH) and the η value follows a linear relation—ΔGH reduces as η decreases. Notably, ZrSe2-Mn exhibits the optimal η value (−0.56), corresponding to the best HER activity with a ΔGH of −0.04 eV—closer to the thermoneutral ideal value (0 eV) than even Pt (ΔGH = −0.09 eV). This relationship suggests that η is an effective descriptor of the active spin state for HER of TM-based catalysts. Our study establishes a quantitative correlation between HER activity and spin polarization, enabling performance prediction through spin-resolved physical descriptor.

Applied Physics LettersVol. 127(16)
Hunan University (CN), Division of Materials Science and Engineering (AU), Changsha Environmental Protection College (CN)
Openalex Percentile: Top 77%
Machine Learning in Materials Science
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