Introduction

The semiconductor industry has identified the metal–oxide–semiconductor field-effect transistor (MOSFET) as a basic element for device-, circuit-, and system-level applications. Downscaling in MOSFET technology has many advantages, notably better radio-frequency (RF) performance, lower power consumption, and increased marginal density. Despite these advantages, however, constant MOSFET downscaling has numerous shortcomings, including a subthreshold swing (SS) limit of 60 mV/decade, substantial low-power dissipation, greater conduction losses, and massive short-channel effects (SCEs).1,2,3 Tunnel field-effect transistors (TFETs) have been proposed as a potential replacement for MOSFETs, as well as a basis for future semiconductor technologies.2 TFETs have unique features that make them ideal for a variety of applications, including low-power, analog/RF, and optical sensing.4,5 On the other hand, TFETs have some challenges, including larger ambipolar6,7,8,9,10,11 conduction, low ON-state current, and poor high-frequency performance.12 To overcome these problems, the line TFET has been emphasized in the literature by researchers.13 In a line TFET, an oxide and gate material is placed over the source region, which leads to activation of the vertical electrical field component and induced orthogonal to the source area.14 This vertical electric field component over the gate terminal enhances the tunneling phenomena of the device. Subsequently, it also plays an important role in enhancing the quantum tunneling mechanism, degrading the ambipolar conduction, and enabling the device to switch quickly comparatively to conventional TFET devices. To further improve the performance of the line TFET, a Z-shaped horizontal pocket (ZHP) line TFET15,16,17,18 is designed to achieve high drain current and low leakage current. In this structure, the n+ pocket is placed over the p+ source area, resulting in a Z-shaped oxide layer with a horizontal pocket. In the ZHP-TFET, a hafnium dioxide (HfO2) layer is placed over the source area, while a thin film of silicon dioxide (SiO2) is kept beneath the channel region. Agopin et al. experimentally highlighted the electrical characteristics of the line TFET.13 Analysis revealed that the Z-TFET has improved transfer characteristics, current ratio, and RF/analog performance than double-gate TFETs (DG-TFETs) even in the presence of traps.19 It was also observed that the ZHP-TFET has better transfer characteristics, ION/IOFF ratio, ION/IAMB ratio, SS, and RF/analog performance than the Z-TFET and DG-TFET.20 To reduce the ambipolar current and improve ON current, a split-drain Z-shaped horizontal pocket (HP) TFET was proposed in the literature.17 Furthermore, the performance of a Z-shaped charge plasma TFET as a biosensor was analyzed considering different biomolecules inside the cavity by Shivangi et al.21

The hetero-stacked (HS)22,23 TFET is another fascinating device that divides the source into two sections: the top portion is composed of silicon, and the lower section is made of germanium. These hetero-structural modifications lead to a reduction in ambipolar conduction, improvement in steepness of the SS, and reduced leakage current.

The main objective of the present work is to examine the optical performance of low-power hetero-stacked and Z-shaped horizontal-pocket TFETs in the visible range of the spectrum (400–700) nm at an intensity of 0.7 W/cm2. Various optical figures of merit (FOMs) including spectral sensitivity (Sn), quantum efficiency (\(\eta \)), signal-to-noise ratio (SNR), and responsivity (R) are key parameters for determining the optical performance of these TFET-based photosensors. When light strikes the device's sensitive portion, photons are absorbed, resulting in the formation of optical charge carriers within the illumination window.24,25 Furthermore, significant changes in their optical properties26,27,28 have been detected when the intensity and wavelength23 of incident light are varied. The stress distribution of the HS-TFET is also emphasized for more practical and realistic analysis. Moreover, the fabrication process flow for both structures is also presented.

This paper is organized in four sections. Section “Device Structure and Simulation Setup” includes the device structure and simulation parameters followed by the fabrication process flow for these TFETs, with an explanation of how it can function as a photodiode, Section “Results and Discussion” examines the optical properties of these TFET-based photodiodes. Finally, Sect. “Conclusion” concludes the paper.

Device Structure and Simulation Setup

The Z-shaped horizontal-pocket (ZHP) TFET and hetero-stacked (HS) TFET photodiodes considered in this work are presented in Fig. 1a and b, and their various parameters are defined from the existing literature.15,16,17,18,19,20,21,22,23 Table I shows the device dimensions and doping specifications for both devices. The gate and source regions of the ZHP-TFET (Fig. 1a) have 1 nm-thick layers of SiO2 and HfO2 layers, respectively. In addition, a 3 nm-thick n+ pocket is placed over the source to improve the tunneling rate and exhibits the maximum photon absorption. Furthermore, the ZHP-TFET aids in the reduction of undesired interface trap charges beneath the oxide layer and leads to minimum changes in drain current (ID) during the illumination state. The HS-TFET shown in Fig. 1b is composed of a stack source region with two distinct semiconductor materials: the upper layer employs Si, while the lower layer features Ge.

Fig. 1
figure 1

Two-dimensional schematic of (a) ZHP-TFET and (b) HS-TFET photodiodes.

Table I Device parameters of the considered photodiodes

The lower bandgap of Ge than of Si leads to the improved effective switching characteristics,18 and thus, the HS-TFET has a steeper average SS. To examine the effects of optical phenomena, the light should be incident on the gate section of the device. The stepwise fabrication process flow for the ZHP- and HS-TFET-based photodiodes is summarized in Fig. 2a and b, respectively. Thus, the exploration of the TFET-based photodiode is not limited to simulation, and actual fabrication of such optical devices is also possible in the near future.

Fig. 2
figure 2

Fabrication process steps for (a) ZHP-TFET and (b) HS-TFET photodiodes.

The process can be described as follows. Initially, we take an ideal Si substrate of required dimensions. The device area is defined through cutting edge technology of the wafer forming. Once the device area is defined, photo-masking with lithography11 is used to deposit the n- and p-type dopants of uniform mode into the source and drain side of the device through a spin-on-dopant (SOD) process. In this technique, the dopant is first spread onto the substrate, and then diffusion takes place by a rapid thermal annealing process. This process of doping has been found very promising for ease of implementation, lower cost, and less crystal damage with uniform doping. In the next step, RCA cleaning of wafers is performed to remove contaminants. Afterwards, an oxide layer is deposited across the source, channel, and drain regions by atomic layer deposition (ALD). Selective etching of hafnium and silicon oxide is also performed using a dry reaction ion etching (RIE) and coupled plasma technique, and deposition of metal over the junction is carried out by electron beam evaporation. Finally, post-metallization is used to tighten the connection between metal and silicon material.

The Sentaurus TCAD29 tool is used to design these TFET-based photodiodes. The accuracy of the models is verified by comparison of experimental data with the simulation results.30 The presence of highly doped source and drain regions leads to activation of the Fermi distribution model during simulation. To incorporate the recombination model in the simulator, the Shockley–Read–Hall (SRH) model is enabled. The bandgap narrowing slotboom model is activated, as the band-to-band tunneling (BTBT) rate is a function of the energy bandgap. The nonlocal BTBT model is commonly used to investigate carrier transport in such photodiodes. These models allow charge carriers to explore a tunneling path during the optical creation of carriers inside the illumination window. The indirect tunneling coefficients, A = 3.29 × 1015 cm−3 s−1, B = 23.8 × 106 Vcm−1 (for Si), and A = 1.67 × 1015 cm−3 s−1, B = 6.55 × 106 Vcm−1 (for Ge) are considered during calibration.31 Noticeable matching is observed between the simulated and experimental data taken from Kim et al.,30 as shown in Fig. 3.

Fig. 3
figure 3

Comparison of fabricated data from Kim et al.30

Since there is no possibility of a depletion zone forming on the remaining structure, the “illumination window” of the device must display the depletion region for the device to function as a photodiode. It is reported in the literature that the TFET-based photodiode25,32,33 has improved optical properties in the visible range of the spectrum due to its maximum optical absorbance in this wavelength range. This also ensures that incident light energy is greater than the threshold energy of material for generation of electron–hole pairs inside the photosensitive region of the device at constant intensity of light. Since the intensity of light may vary from 0.5  W/cm2 to 0.7 W/cm2 depending upon the optical properties and photosensitivity of the material,32 and the proposed device displays exceptional variation at constant I = 0.7 W/cm2 during optical simulation, the proposed photodiodes are simulated under a visible wavelength range of 400–700 nm at constant intensity of 0.7 W/cm2. In order to realize these TFETs as optical sensors, we defined a specific value of wavelength with its angle of incidence in the TCAD simulator.29 The value of intensity and the dimensions of the illumination window over which optical operation will take place are also defined during simulation.

Strain will exist in the HS-TFET as Ge material is placed over Si. This strain analysis is realized in the simulator by activating the deformation mobility model, multi-valley electron mobility model, and piezoresistance mobility model.29

Results and Discussion

Figure 4 shows that the optical generation rate of the ZHP-TFET-based photodiode is higher than that of the HS-TFET photodiode. In a TFET, one challenge that remains is that ON current is observed in the range of microamperes. Thus, to realize high drain current, it is essential to increase the carrier transmission probability through an inter-band tunneling barrier. This tunneling barrier is defined through the Wentzel–Kramers–Brillouin (WKB) approximation (Twkb)6 and mathematically expressed as

$$ T_{{{\text{wkb}}}} = \exp \left[ {\frac{{4\lambda \sqrt {2m^{*} E_{g}^{3} } }}{{3qh\left( {E_{q } + \Delta \emptyset } \right)}}} \right] $$
(1)

where m* is defined as the effective mass, Eg is the bandgap, λ is the tunneling length, q is the electronic charge, h is the Planck constant, and ∆ϕ represents the energy difference between the valence and conduction energy bands. Here, m* and Eg depend upon the material system properties, while for a smaller tunneling length (λ), better modulation of the device channel is desirable. Thus, it is desirable to considered a high-permittivity (high-k) oxide layer for better ON current and fast switching. Therefore, the availability of the HfO2 layer over the source region in the ZHP-TFET results in greater confinement in the energy bands under the illumination state. Thus, the high-k oxide layer of HfO2 is responsible for excess electron–hole pair generation when light of intensity 0.7 W/cm2 in the visible range (0.3–0.7 μm) is incident over the photosensitive metal gate region of the device. Therefore, the higher dielectric constant of HfO2 is responsible for excess drain current in the ZHP-TFET-based photodiode. As a result, the overall net optical generation rate in the ZHP-TFET photodiode is higher than that of the HS-TFET photodiode, as shown in Fig. 4.

Fig. 4
figure 4

Optical generation rate of HS- and ZHP TFET-based photodiodes at λ = 500 nm, I = 0.7 W/cm2 at VGS = 1.5 V.

Light is incident over the photosensitive poly-silicon metal11,33 of thickness (t) in the gate region through the optical illumination window, as shown in Fig. 1a and b. When light is incident over the sensitive material, then a photochemical reaction is initiated by absorption of energy in the light form. Consequently, molecules absorbing the light are responsible for the generation of transient excited states whose chemical and physical properties are far different from the original molecules. These newly generated chemical molecules can play an important role in changing structures, can combine to form new molecules, and may possibly transfer electrons, hydrogen atoms, or their excited electronic energy to other molecules.28 If a light wave of a certain frequency strikes a photosensitive material with electrons moving at the same vibrational frequency, then such electrons will absorb the light wave energy and convert it into a vibrational motion of light. During vibrational motion, the electrons interact with neighboring atoms, and consequently, their vibrational energy is transformed into the thermal energy of the material. These energy transformation phenomena are responsible for optical generation of charge carriers over the photosensitive region of an optical device.11,33

Calculation of the optical generation rate (G) with variation in light intensity on the basis of metal thickness (t) of given photodiodes can be described through some basic carrier generated equations. The equilibrium electron and hole concentrations in the photosensitive region are expressed as32,33

$$ n = n_{o} + \delta n\left( \lambda \right) \quad \quad p = p_{o} + \delta p\left( \lambda \right) $$
(2)

where no and po are the electron and hole concentrations, respectively, in an equilibrium state under the dark condition, and δn(λ) and δp(λ) are defined as the excess electron and hole concentrations, respectively, at 500 nm wavelength. In the ideal state, δn(λ) = δp(λ), and therefore the hole concentration can be written as

$$ p = p_{o} + \delta n \left( \lambda \right) $$
(3)

By considering the SRH recombination model mechanism in the ideal state condition, the number of optically generated carriers per unit volume is defined as25,33

$$ \delta n \left( \lambda \right) = G\tau_{n} = \alpha \varphi \tau_{n} e^{ - \alpha t} $$
(4)

where ϕ is the photon flux density, α signifies the absorption coefficient per unit length, and τn represents the electron lifetime. The expression for generation rate is given by32

$$ G = \frac{I}{{h\tau_{c} }}\alpha e^{ - \alpha t} $$
(5)
$$ I = Io \left( \lambda \right)\left( {1 - R_{c} } \right) $$
(6)

where Io (λ) is the intensity of incident light pursuing wavelength λ, Rc indicates the reflection coefficient at the air–Si interface of the gate region, and h and \({\tau }_{c}\)represent the Planck constant and carrier lifetime, respectively. In this optical analysis, we are assuming that incoming light is totally absorbed in the photosensitive gate region of the device. Thus, the net expression of excess carrier concentration is expressed as

$$ \Delta n\left( \lambda \right) = I_{o} \alpha \left( \lambda \right)\tau_{n} \frac{\lambda }{hc } \left( {1 - R_{c} } \right)e^{ - \alpha \left( \lambda \right)t} $$
(7)

Equation 7 defines the net charge carrier generation rate (G) inside the illumination window as exponentially dependent upon the metal gate thickness t. Since we have assumed that the proposed TFET-based photodiode exhibits complete absorption of light, no reflection would occur at the back surface of the device.

Figure 5a and b depicts the energy band diagrams for the HS-TFET photodiode under illumination and dark conditions, respectively. Energy band diagrams for the ZHP-TFET photodiode under light and dark conditions are demonstrated in Fig. 5c and d, respectively. When gate voltage (VGS) is applied, the number of photo-generated electrons decreases as the device approaches its positive gate voltage, and the holes accumulate at the gate oxide area of the photodiode. It can be seen from Fig. 5 that the electron quasi-Fermi level (Efn) and hole quasi-Fermi level (Efp) of the photodiodes are segregated due to the separation of charge carriers. This phenomenon creates an illumination window for these photodiodes. Furthermore, the separation of these Fermi energy levels causes a potential difference within the gate region of the photodiode, referred to as photo-voltage (Vop). The induced photo-voltage (Vop) is responsible for the enhancement in photo-current at the initial value of gate voltage (VGS). Figure 5a and c reveals that the decoupling of Efn and Efp increases under the illumination area in the ON state (VGS = 1.5 V, VDS = 0.5 V). However, since there is no light production inside the channel under dark conditions, Efn and Efp will remain in synchrony, as illustrated in Fig. 5b and d. A significant difference between Efn and Efp is visualized in the HS-TFET photodiode compared to the ZHP-TFET photodiode in the illumination state. This indicates that the optical potential of the ZHP-TFET is lower than that of the HS-TFET.

Fig. 5
figure 5

Energy band diagram at constant I = 0.7 W/cm2, λ = 500 nm for (a) HS-TFET photodiode in light, (b) HS-TFET photodiode in the dark, (c) ZHP-TFET photodiode in light, and (d) ZHP-TFET photodiode in the dark at VDS = 0.5 V and VGS = 1.5 V.

The corresponding contour plot of the BTBT rate along the channel under dark and light states for both devices is shown in Fig. 6. It can be seen that the BTBT rate is lower in the dark state than in the illumination state for both photodiodes, and this is due to the presence of fewer charge carriers inside the illumination window under the dark condition relative to the illuminated state. The presence of a high-k oxide (HfO2) layer above the source region enhanced the tunneling probability of charge carriers from the source to channel region.6 Thus, it is evident from Fig. 6 that the ZHP-TFET exhibits tunneling rates on the order of 1031 and 7.3 × 1029 (cm−3 s−1) during illuminated and dark conditions, respectively. In the case of the HS-TFET, the observed tunneling rates are around 1030 and 7 × 1029 (cm−3 s−1) under light and dark conditions, respectively. Therefore, the BTBT rate of the ZHP-TFET photodiode is higher than that of the HS-TFET photodiode in both states.

Fig. 6
figure 6

BTBT rate of the ZHP-TFET photodiode under (a) illumination and (b) dark states, and HS-TFET photodiode under (c) illumination and (d) dark states at constant I = 0.7 W/cm2, λ = 500 nm at VDS = 0.5 V.

The electron density profile for the TFET-based photodiodes under light and dark conditions is shown in Fig. 7. Both photodiodes have increased electron density under the light condition, as shown in Fig. 7b and d, which is due to the increased generation of optical carriers inside the illumination window. Furthermore, Fig. 7a and c shows lower electron density under dark conditions for both photodiodes. The ZHP-TFET photodiode also demonstrates increased electron density for both dark and light states, which indicates that it can be used for advanced optical sensors.

Fig. 7
figure 7

Density of HS-TFET photodiode under (a) dark and (b) illumination states, and ZHP-TFET photodiode under (c) dark and (d) illumination states at constant I = 0.7 W/cm2, 500 nm = λ and VDS = 0.5 V.

Strain in a heterojunction alters the atomic properties, thereby modulating the electrical characteristics of semiconductor devices. The proposed HS-TFET-based photodiode structure exhibits a stack of Si and Ge at the source region; therefore, a uniaxial strain is introduced at the Si/Ge interface due to lattice mismatch.12 Furthermore, the effect of strain in the source side of the HS-TFET is highlighted by considering its distribution along the XX-, YY-, and XY-axis of the device. This strain distribution includes the analytical profile placement (APP) strain, analytical profile distribution (APD) strain, and rectangular evaluation window (REW) strain model, as shown in Fig. 8. The presence of strain between the junctions also affects the electronic properties of the HS-TFET by modulating the electronic state and energy bandgap of the heterojunction. Strain results in the variation in the electronic state of the device by narrowing the bandgap, as shown in Fig. 9. The presence of strain on the Si/Ge junction increases the electron affinity and decreases the conduction band energy relative to the unstrained effect, as summarized in Fig. 10.

Fig. 8
figure 8

TCAD Sentaurus-simulated device for stress distribution in a germanium–silicon HS-TFET: (a) XX component, (b) YY component, and (c) XY component at constant I = 0.7 W/cm2, λ = 500 nm, and VDS = 0.5 V.

Fig. 9
figure 9

Bandgap narrowing due to the strain effect in a silicon–germanium heterojunction of the hetero-stacked TFET photodiode.

Fig. 10
figure 10

Electronic state energy due to the strain effect in a silicon–germanium heterojunction of the hetero-stacked TFET photodiode.

In earlier analysis, it was found that the number of charge carriers is increased inside the illumination window when a device is illuminated. Consequently, the optical performance of such photodiodes is drastically improved, and such device can be used as a sensor. Figure 11 presents a comparison of the transfer characteristics between ZHP- and HS-TFET-based photodiodes. When the incidence angle of light is 0° in the TCAD simulator tool,29 the light ray is incident normal to the photosensitive metallic surface in the +Y direction, and the device is considered to be in an illumination state. On the other hand, if we insert the angle of incidence equal to 90°, under this state the light ray moves parallel to the photodiode in the +X-axis direction, and the device is considered to be in the dark state. Based on the angle of incidence, it is determined whether the photodiode is under light or dark mode. The ZHP-based TFET photodiode demonstrates improved drain current characteristics relative to the HS-TFET photodiode for both illumination and dark states. It is also observed that the ZHP-TFET photodiode exhibits lower variation in drain current (ID) for both light and dark conditions. However, the HS-TFET photodiode shows a significant change in drain current due to an excess number of charge carriers created inside the optical area.

Fig. 11
figure 11

Transfer characteristics of ZHP- and HS-TFET-based photodiodes under dark and illumination conditions at constant I = 0.7 W/cm2, 500 nm = λ, and VDS = 0.5 V.

The considered photodiodes have a layered structure in the nanoscale regime; the electrostatic potential distribution of the HS- and ZHP-based TFET photodiodes along the Y-axis is shown in Fig. 12a and b, respectively. The HS-TFET photodiode exhibits greater change in the electrostatic potential (V) because of the major variation in drain current observed at a certain limit of gate voltage under light and dark states, while the ZHP-TFET photodiode has less variation in electrostatic potential due to negligible variation in drain current observed in a certain small range of gate voltage (Vgs). The electrostatic potential curve will remain constant inside the metal, and beyond the metallic region the potential (V), it will decay exponentially with distance. When light is incident over the photosensitive surface, then optical voltage (VOP) is induced across the metal oxide surface due to the generation of electron–hole pairs, which leads to exponential decay of net potential across the Y-axis of the device.

Fig. 12
figure 12

Electrostatic potential distribution of (a) HS- and (b) ZHP-based TFET photodiodes along the Y-axis.

The spectral sensitivity (Sn)32,33,34 of the photodiode is used to examine its optical performance and is determined by measuring the drain current at various wavelengths of light ranging from 400 nm to 700 nm. The Sn is mathematically expressed as

$$ S_{n} = \frac{{I_{D} \left( {\lambda_{1} } \right) - I_{D} \left( {\lambda_{2} } \right)}}{{I_{D} \left( {\lambda_{2} } \right)}} $$
(8)

where ID (λ1) and ID (λ2) are the drain current at wavelength λ1 and λ2, respectively. The drain current tends to decrease when the wavelength is increased from λ1 to λ2.

The Sn as a function of λ for both TFET-based photodiodes is shown in Fig. 13a. It is seen that the Sn of the HS-TFET photodiode is about 221, whereas the Sn for the ZHP-TFET photodiode is 87.6 at a wavelength of 500 nm. Further, the Sn versus gate voltage for both TFET-based photodiodes is displayed in Fig. 13b. The drain current in the HS-TFET shows substantial fluctuations relative to the ZHP-TFET, which leads to greater sensitivity in the HS-TFET photodiode. The HS-TFET photodiode exhibits maximum sensitivity of 67.5 due to reduced variations in drain current during illumination. However, the ZHP-TFET photodiode exhibits an Sn value of 14.8 at lower VGS.

Fig. 13
figure 13

Comparison of (a) spectral sensitivity (Sn) versus \(\lambda \) and (b) spectral sensitivity (Sn) versus VGS of these photodiodes at VDS = 0.5 V in the visible range (0.3–0.7) with I = 0.7 W/cm2.

The signal-to-noise ratio (SNR)26 of the proposed photodiodes is shown in Fig. 14a. The SNR is defined as the ratio of photocurrent to dark current and is expressed as

$$ {\text{SNR}} = 20 {\text{log}}\left( {I_{{{\text{light}}}} /I_{{{\text{Dark}}}} } \right) $$
(9)
Fig. 14
figure 14

Comparison of (a) SNR and (b) responsivity of the TFET-based photodiodes at constant intensity = 0.7 W/cm2 of wavelength (0.3–0.7 µm) and VDS = 0.5 V.

It is seen from Fig. 14a that the SNR of the HS-TFET photodiode is around 79.3 dB, while the SNR of the ZHP-TFET photodiode is approximately 39.8 dB. The root cause of the improved SNR in the HS-TFET is the significant variation in the drain current observed at lower gate voltage. Thus, a higher SNR is detected for the HS-TFET-based photodiode than the ZHP-TFET photodiode.

Quantum efficiency (\(\eta \))33 is another essential element influencing the photodiode response. It is defined as the ratio of the number of electron–hole pairs formed to the number of incoming photons at a certain wavelength of light and is expressed as

$$ \eta { } = { }\frac{{{\text{No }}\;{\text{of }}\;{\text{Electron}}\;{\text{ hole }}\;{\text{pairs }}\;{\text{generated}}}}{{{\text{No }}\;{\text{of}}\;{\text{ photons}}\;{\text{ incident}}}} $$
(10)

We further compare the responsivity (R) of these photodiodes, as shown in Fig. 14b, which is expressed as35,36,37,38

$$ R = \frac{q\eta \lambda }{{hc}} $$
(11)

where q represents the electron charge (= 1.6 × 10 −19 C), c is the velocity of light (= 3 × 108 m/s) and h indicates the Planck constant (= 6.62 × 10−34 J s).

It can be seen from (11) that R is directly proportional to the quantum efficiency at a specific wavelength, and the rest of the parameters are constant. Figure 14b shows that the R of the ZHP-based TFET photodiode is significantly larger than that of the HS-TFET photodiode at various wavelengths.

Therefore, Sn and SNR of the HS-TFET photodiode are significantly higher in magnitude due to the maximum variation of drain current at lower VGS. However, the number of optical charge carriers generated in the illumination window is significantly higher for the ZHP-TFET photodiode, which demonstrates higher R than the HS-TFET photodiode.

The quantum efficiency of both devices at different wavelengths is shown in Fig. 15. The photon energy is inversely proportional to the wavelength of incident light, and as the wavelength of incident light increases, fewer electron–hole pairs are generated inside the conductive channel. However, at a wavelength of 300 nm, the incident energy is sufficiently large to produce excess electron–hole pairs at the same intensity of light, thus resulting in higher quantum efficiency at a wavelength of 300 nm compared with higher wavelengths of light.

Fig. 15
figure 15

Quantum efficiency plot of ZHP- and HS-TFET-based photodiodes at constant intensity = 0.7 W/cm2 wavelength (0.3–0.7 µm) and VDS = 0.5 V.

Table II shows the quantum efficiency of the demonstrated TFET-based photodiodes at a wavelength of 500 nm. The quantum efficiency of the ZHP-TFET-based photodiode is significantly higher than that of the HS-TFET-based photodiode, which is due to the excess number of carriers generated inside the illumination window of the ZHP-TFET-based photodiode.

Table II Quantum efficiency of various photodiodes

Finally, we present a comparative study of the optical parameters between these photodiodes at a wavelength of 500 nm, as shown in Table III. It can be seen that the SNR and Sn are greater for the HS-TFET photodiode than the ZHP-TFET photodiode. This is due to large fluctuations in the charge carriers inside the illumination window in the HS-TFET photodiode, which points towards improved SNR and Sn. However, the ZHP-TFET photodiode seems to have improved ION current, better quantum efficiency, and faster responsivity, which is because of the greater photon absorption inside the light window in the ZHP-TFET photodiode.

Table III Comparative analysis of considered photodiodes

Conclusion

In this paper, the optical characteristics of TFET-based photodiodes, namely HS-TFET and ZHP-TFET photodiodes, are investigated. The HS-TFET-based photodiode performs better in terms of SNR and sensitivity. However, other optical metrics including responsivity, quantum efficiency, optical generation, and BTBT rate are better in the ZHP-TFET-based photodiode. In the visible range of the spectrum, the optimum values of Sn and SNR observed for the HS-TFET-based photodiode are 67 dB and 78 dB, respectively, whereas the Sn and SNR are 14 dB and 44 dB, respectively, for the ZHP-TFET-based photodiode. Therefore, the TFET-based ZHP and HS photodiodes can be regarded as emerging optical devices in the visible range of the spectrum for photovoltaic applications.