First-principles quantum transport investigation of Fe-functionalized phosphorene for high-sensitivity NO2 detection

Significantly sensitive and energy-efficient gas sensors using 2D materials are an essential research topic for environmental monitoring applications. In this work, we carried out a comprehensive study on an iron-functionalized black phosphorene interface for nitrogen dioxide gas detection using a first-principles quantum transport method. Density functional theory and the non-equilibrium Green’s function method were employed to investigate structural stability, electronic structure modulation, charge transfer, and bias-dependent transport characteristics. Numerical convergence of self-consistent field calculations confirms computational stability, as the total energy change is found to be below 1.0 × 10 −4 eV. The adsorption energy of −2.67 eV confirms strong chemisorption of NO 2 on the Fe active site. The Hirshfeld population method indicates a charge transfer of −0.16 e on the NO 2 molecule and a Fe atom with a charge of + 0.21 e, confirming it as an electron donor site. The analysis of the electronic structure indicates a reduction in the band gap of 54% from 0.04895 eV to 0.02241 eV and a shift in the Fermi level of 0.145 eV. The work function is increased by 0.34 eV, indicating that interfacial dipoles are formed. Transmission spectra indicate a suppression in conducting channels close to the Fermi level. Bias-dependent transport simulations indicate a maximum sensitivity of 32% for a voltage of 0.2 V. Quasi-ohmic behavior is indicated with a rectification ratio close to unity. Hence, the device is confirmed to operate in a resistive type p-type mode. Fe-functionalized phosphorene is confirmed to be a promising platform for detecting NO₂ with high sensitivity and low voltage. This graphic illustrates the multiscale computational investigation of an Fe-functionalized black phosphorene interface for NO₂ detection using density functional theory (DFT) and non-equilibrium Green’s function (NEGF) methods. The study reveals that strong chemisorption (Eads = −2.67 eV) of NO₂ at the iron active site drives a strong charge transfer of approximately −0.16e to the gas molecule, creating a distinct electron depletion zone. This charge redistribution results in a 54% reduction in the band gap and a significant downward shift in the Fermi level, transforming the electronic structure. The calculated two-probe transport characteristics demonstrate that this interface functions as a quasi-ohmic, high-sensitivity p-type sensor, achieving a maximum sensing response of approximately 32% at an ultra-low operating bias of 0.2 V, highlighting its potential for low-power environmental monitoring.

Authors

Institutions

Publication Details

Journal
Next Materials
Published
2026-04-13
DOI
https://doi.org/10.1016/j.nxmate.2026.102064
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

First-principles quantum transport investigation of Fe-functionalized phosphorene for high-sensitivity NO2 detection

Dharmesh Katariya, Ranjan Khunt, Bharat Kataria, Vaibhav D. Bhatt et al.
Next Materials
2D Materials and Applications
article

First-principles quantum transport investigation of Fe-functionalized phosphorene for high-sensitivity NO2 detection

Dharmesh Katariya, Ranjan Khunt, Bharat Kataria, Vaibhav D. Bhatt, J.H. Markna, Pradhumansinh Kher, Tanvi Dudharejiya, D.K. Dhruv, Gaurav Jadav, Sandhya Dodia
article en

Abstract

Significantly sensitive and energy-efficient gas sensors using 2D materials are an essential research topic for environmental monitoring applications. In this work, we carried out a comprehensive study on an iron-functionalized black phosphorene interface for nitrogen dioxide gas detection using a first-principles quantum transport method. Density functional theory and the non-equilibrium Green’s function method were employed to investigate structural stability, electronic structure modulation, charge transfer, and bias-dependent transport characteristics. Numerical convergence of self-consistent field calculations confirms computational stability, as the total energy change is found to be below 1.0 × 10 −4 eV. The adsorption energy of −2.67 eV confirms strong chemisorption of NO 2 on the Fe active site. The Hirshfeld population method indicates a charge transfer of −0.16 e on the NO 2 molecule and a Fe atom with a charge of + 0.21 e, confirming it as an electron donor site. The analysis of the electronic structure indicates a reduction in the band gap of 54% from 0.04895 eV to 0.02241 eV and a shift in the Fermi level of 0.145 eV. The work function is increased by 0.34 eV, indicating that interfacial dipoles are formed. Transmission spectra indicate a suppression in conducting channels close to the Fermi level. Bias-dependent transport simulations indicate a maximum sensitivity of 32% for a voltage of 0.2 V. Quasi-ohmic behavior is indicated with a rectification ratio close to unity. Hence, the device is confirmed to operate in a resistive type p-type mode. Fe-functionalized phosphorene is confirmed to be a promising platform for detecting NO₂ with high sensitivity and low voltage. This graphic illustrates the multiscale computational investigation of an Fe-functionalized black phosphorene interface for NO₂ detection using density functional theory (DFT) and non-equilibrium Green’s function (NEGF) methods. The study reveals that strong chemisorption (Eads = −2.67 eV) of NO₂ at the iron active site drives a strong charge transfer of approximately −0.16e to the gas molecule, creating a distinct electron depletion zone. This charge redistribution results in a 54% reduction in the band gap and a significant downward shift in the Fermi level, transforming the electronic structure. The calculated two-probe transport characteristics demonstrate that this interface functions as a quasi-ohmic, high-sensitivity p-type sensor, achieving a maximum sensing response of approximately 32% at an ultra-low operating bias of 0.2 V, highlighting its potential for low-power environmental monitoring.

Next MaterialsVol. 12
Saurashtra University (IN), Gujarat Technological University (IN), Sardar Patel University (IN)
Openalex Percentile: Top 10%
2D Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.