Yttrium-Modified B <sub>12</sub> N <sub>12</sub> Nanocages for High-Performance H <sub>2</sub> Sensing: Insights from DFT Calculations on Sensitivity, Selectivity, and Recovery

Boron nitride (B<sub>12</sub>N<sub>12</sub>) nanocages have attracted considerable attention due to their exceptional structural stability and tunable electronic properties, making them promising candidates for gas-sensing applications. In this study, DFT-D3 calculations at the B3LYP/def2-TZVP level, including relativistic effects for yttrium (SARC-ZORA-def2-TZVP), were employed to investigate H<sub>2</sub> adsorption on pristine and Y-modified (doped, decorated, and encapsulated) B<sub>12</sub>N<sub>12</sub> nanocages. The pristine nanocage exhibited weak physisorption (<i>E</i> <sub>ads</sub> = -0.04 eV), whereas the Y@b<sub>64</sub> configuration demonstrated strong chemisorption (<i>E</i> <sub>ads</sub> = -0.96 eV), pronounced electronic sensitivity (Δ<i>E</i> <sub>gap</sub> = 74.94%), and a feasible recovery time (τ = 166.8 s). Analyses of electrostatic potential, molecular dynamics (1000 ps), IR, and UV-vis spectra confirmed the structural robustness and optical detectability of H<sub>2</sub>. Furthermore, the Y@b<sub>64</sub> nanocage showed remarkable selectivity toward H<sub>2</sub> compared to common interfering gases (CH<sub>4</sub>, CO, H<sub>2</sub>S, and N<sub>2</sub>). Overall, Y@b<sub>64</sub> combines high adsorption energy, strong sensitivity, and efficient recovery time, underscoring its potential as a selective, stable, and high-performance H<sub>2</sub> gas sensor.

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Publication Details

Journal
ACS Omega
Published
2026-01-21
DOI
https://doi.org/10.1021/acsomega.5c11273
Citations
1
Primary Topic
Boron and Carbon Nanomaterials Research
Type
article
Field-Weighted Citation Impact
16.08
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article

Yttrium-Modified B 12 N 12 Nanocages for High-Performance H 2 Sensing: Insights from DFT Calculations on Sensitivity, Selectivity, and Recovery

Adilson Luís Pereira Silva, Natanael de Sousa Sousa, Adeílton Pereira Maciel, Wellington da Conceição Lobato do Nascimento
1 citations
ACS Omega
Boron and Carbon Nanomaterials Research
16.08
article

Yttrium-Modified B 12 N 12 Nanocages for High-Performance H 2 Sensing: Insights from DFT Calculations on Sensitivity, Selectivity, and Recovery

Adilson Luís Pereira Silva, Natanael de Sousa Sousa, Adeílton Pereira Maciel, Wellington da Conceição Lobato do Nascimento
article en
1 citations

Abstract

Boron nitride (B<sub>12</sub>N<sub>12</sub>) nanocages have attracted considerable attention due to their exceptional structural stability and tunable electronic properties, making them promising candidates for gas-sensing applications. In this study, DFT-D3 calculations at the B3LYP/def2-TZVP level, including relativistic effects for yttrium (SARC-ZORA-def2-TZVP), were employed to investigate H<sub>2</sub> adsorption on pristine and Y-modified (doped, decorated, and encapsulated) B<sub>12</sub>N<sub>12</sub> nanocages. The pristine nanocage exhibited weak physisorption (<i>E</i> <sub>ads</sub> = -0.04 eV), whereas the Y@b<sub>64</sub> configuration demonstrated strong chemisorption (<i>E</i> <sub>ads</sub> = -0.96 eV), pronounced electronic sensitivity (Δ<i>E</i> <sub>gap</sub> = 74.94%), and a feasible recovery time (τ = 166.8 s). Analyses of electrostatic potential, molecular dynamics (1000 ps), IR, and UV-vis spectra confirmed the structural robustness and optical detectability of H<sub>2</sub>. Furthermore, the Y@b<sub>64</sub> nanocage showed remarkable selectivity toward H<sub>2</sub> compared to common interfering gases (CH<sub>4</sub>, CO, H<sub>2</sub>S, and N<sub>2</sub>). Overall, Y@b<sub>64</sub> combines high adsorption energy, strong sensitivity, and efficient recovery time, underscoring its potential as a selective, stable, and high-performance H<sub>2</sub> gas sensor.

ACS OmegaVol. 11(4)
Universidade Federal do Rio Grande do Norte (BR), Universidade Estadual do Maranhão (BR), Universidade Federal do Maranhão (BR)
Affordable and clean energy
Openalex Percentile: Top 3%
Boron and Carbon Nanomaterials Research
16.08
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