Enhanced NO<sub>2</sub> Gas Sensing in Nanocrystalline MoS<sub>2</sub> via Swift Heavy Ion Irradiation: An Experimental and DFT Study
Aditya Kushwaha, Neetu Raj Bharti, Anuj Sharma, Sanjay Kumar Kedia, Govind Gupta, Neeraj Goel
Abstract
Nanostructured transition metal dichalcogenides (TMDs) like MoS 2 hold promise for gas sensing applications due to their exceptional properties. However, limitations exist in maximizing sensor performance, such as limited active sites for gas interaction and sluggish response/recovery times. This study explores swift heavy ion (SHI) irradiation as a strategy to address these challenges in MoS 2 -based NO 2 gas sensors. MoS 2 nanoflakes were fabricated and subsequently irradiated with 120 MeV silver (Ag) ions to induce structural and morphological modifications. Characterization techniques confirmed the formation of Mo and S vacancies within the MoS 2 lattice due to irradiation. Significantly, SHI irradiation resulted in a remarkable enhancement of approximately 3 times improvement in sensing response compared to pristine MoS 2 sensors. Additionally, the irradiated sensors exhibit substantial improvements in both response and recovery times for NO 2 detection. SHI irradiation resulted in the formation of self-affine nanostructures and increased grain fragmentation as fluence rises. This enhanced surface area is hypothesized to promote gas-sensor response. To gain deeper insights into the underlying mechanism, first-principles calculations were employed. These calculations suggest that electron transfer occurs from the MoS 2 surface to the NO 2 molecule during interaction. Furthermore, the irradiation-induced vacancies facilitate stronger NO 2 adsorption on the MoS 2 surface compared to the pristine sample. This work demonstrates the effectiveness of SHI irradiation in engineering defects within MoS 2 nanoflakes, leading to significantly improved NO 2 gas-sensing performance. This approach offers a promising avenue for developing next-generation TMD-based gas sensors with enhanced sensitivity, response times, and stability.