a b s t r a c tAbsorption of hydrogen molecules on Nickel and Rhodium-doped hexagonal boron nitride (BN) sheet is investigated by using the first principle method. The most stable site for the Ni atom was the on top side of nitrogen atom, while Rh atoms deservers a hollow site over the hexagonal BN sheet. The first hydrogen molecule was absorbed dissociatively over Rh atom, and molecularly on Ni doped BN sheet. Both Ni and Rh atoms are capable to absorb up to three hydrogen molecules chemically and the metal atom to BN sheet distance increases with the increase in the number of hydrogen molecules. Finally, our calculations offer explanation for the nature of bonding between the metal atom and the hydrogen molecules, which is due to the hybridization of metal d orbital with the hydrogen s orbital. These calculation results can be useful to understand the nature of interaction between the doped metal and the BN sheet, and their interaction with the hydrogen molecules.
Using
a single-device two-dimensional (2D) rhenium disulfide (ReS2) field-effect transistor (FET) with enhanced gas species
selectivity by light illumination, we reported a selective and sensitive
detection of volatile organic compound (VOC) gases. 2D materials have
the advantage of a high surface-area-to-volume ratio for high sensitivity
to molecules attached to the surface and tunable carrier concentration
through field-effect control from the back-gate of the channel, while
keeping the top surface open to the air for chemical sensing. In addition
to these advantages, ReS2 has a direct band gap also in
multilayer cases, which sets it apart from other transition-metal
dichalcogenides (TMDCs). We take advantage of the effective response
of ReS2 to light illumination to improve the selectivity
and gas-sensing efficiency of a ReS2-FET device. We found
that light illumination modulates the drain current response in a
ReS2-FET to adsorbed molecules, and the sensing activity
differs depending on the gas species used, such as acetone, ethanol,
and methanol. Furthermore, wavelength and carrier density rely on
certain variations in light-modulated sensing behaviors for each chemical.
The device will distinguish the gas concentration in a mixture of
VOCs using the differences induced by light illumination, enhancing
the selectivity of the sensor device. Our results shed new light on
the sensing technologies for realizing a large-scale sensor network
in the Internet-of-Things era.
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