We report the impact ionisation coefficients of the quaternary alloy Al0.9Ga0.1As0.08Sb0.92 lattice matched to GaSb substrates within the field range of 150 to 550 kV cm−1 using p-i-n and n-i-p diodes of various intrinsic thicknesses. The coefficients were found with an evolutionary fitting algorithm using a non-local recurrence based multiplication model and a variable electric field profile. These coefficients indicate that an avalanche photodiode not only can be designed to be a function in the mid-wave infrared but also can be operated at lower voltages. This is due to the high magnitude of the impact ionisation coefficients at relatively low fields compared to other III–V materials typically used in avalanche multiplication regions.

Avalanche photodiodes (APDs) can offer high signal to noise ratios through internal gain due to impact ionisation. Within the infrared (IR), Si based APDs have been predominant for wavelengths up to 1.1 μm (Ref. 1), while for the most commonly used telecom wavelengths of 1.3 and 1.55 μm, InGaAs/AlInAs based separate absorption and multiplication (SAM) APDs have become the incumbent technology after much study.2 However, few examples of APDs operating at extended IR wavelengths exist,3–5 especially with III–V materials. These APDs would be useful in applications such as imaging, ranging, and communicating through obscurant media,6 where photon fluxes are low and the use of longer wavelengths can be desirable. InAs is a material which due to its low bandgap can absorb beyond telecom wavelengths of 1.3 and 1.55 μm and also benefits from highly dissimilar ionisation coefficients resulting in low noise multiplication.4 However, unfortunately, it is highly susceptible to tunnelling currents as a result of its low bandgap and electron effective mass and therefore compromised for APD applications. Hence, it would be highly desirable to develop SAM APDs based on the Sb-materials lattice matched to a GaSb substrate. This has been achieved recently with AlInAsSb based SAM APDs.7 However, they have only been demonstrated up to a cut-off wavelength of 1.6 μm, and impact ionisation coefficients for AlInAsSb, which are crucial in designing a SAM APD, have not been published.

We present a study of the impact ionisation in Al0.9Ga0.1As0.08Sb0.92, hereafter referred to as AlGaAsSb. Being lattice matched to GaSb, this would support SAM APDs with Sb-based absorbers such as InGaAsSb, InAsSb, or even strained layer superlattices (SLSs), covering the short, mid, and longwave regions, respectively. In order to design SAM APDs, the impact ionisation coefficients reported here are required to determine the electric field necessary for adequate multiplication and the charge sheet thickness required for a low field in the low bandgap absorber.

Phase sensitive measurements of pure electron and hole photomultiplication were made using a series of p-i-n and n-i-p diodes of several thicknesses. Non-local ionisation coefficients were then established using a variable field recurrence based multiplication model8 via an evolutionary fitting algorithm. The coefficients are parameterised and compared to those for other III–V materials.

All samples were grown using a Veeco GENxplor MBE reactor equipped with valved cracker cells for As and Sb and SUMO cells for Al, Ga, and In. Epi-ready GaSb n-type and p-type substrates were used for p-i-n and n-i-p diodes, respectively. Oxide desorption was carried out at 530 °C. The substrate was then cooled to 500 °C for growth, which was carried out with a V/III growth rate ratio of 2.2 and an overall group III rate of 1 ML s−1. After a GaSb buffer, the AlGaAsSb diode structures were grown using Te and Be for the n and p-type dopants, respectively. Doping concentrations were approximately determined from Hall effect measurements on calibration growths, and these values were subsequently refined by fitting to the CV measurements. The p-side doping concentration in all devices was 1 × 1018 cm−3, and the n doping concentration was 3 × 1017 cm−3. The upper AlGaAsSb claddings were grown to be many times thicker than required for extinction of the laser used, ensuring pure carrier injection. A thin contact layer was grown for each wafer with GaSb used on the p-i-n devices and, to ensure an Ohmic contact, InAs used on the n-i-p device. These contact layers additionally served to prevent oxidation of the wafer surfaces. Figure 1 shows the structure of the thin p-i-n diode. In addition to this device, a p-i-n diode with a thicker intrinsic region of 300 nm was grown and a complementary n-i-p diode with the same intrinsic thickness as the thin p-i-n. Processing was carried out using standard photolithography, Ti/Au contact metallisation, and a low concentration HF based wet etchant. Mesa diodes with diameters between 100 and 800 μm were fabricated for characterisation.

FIG. 1.

Layer structure for the thin p-i-n diode. Additionally, a complementary n-i-p structure with an intrinsic width of 135 nm was grown, along with a thicker p-i-n diode with a 300 nm intrinsic width.

FIG. 1.

Layer structure for the thin p-i-n diode. Additionally, a complementary n-i-p structure with an intrinsic width of 135 nm was grown, along with a thicker p-i-n diode with a 300 nm intrinsic width.

Close modal

Multiplication measurements were carried out by phase sensitive detection ensuring that the effect measured was photomultiplication rather than any effect associated with dark current. The chopped laser was fibre coupled to the centre of the device using a multimode fibre with a core diameter of 50 μm, thus illuminating an area smaller than the device diameter to ensure pure electron or hole injection. An SRS SR830 lock-in amplifier and a Keithley 2400 Sourcemeter® were used for phase sensitive detection and biasing, respectively. CV measurements were carried out using an Agilent E4980 LCR meter. The device structures described above were verified using CV measurements fitted using a Poisson equation model. The thicknesses of the intrinsic widths are the results of the CV simulations including a step grading doping profile to account for any dopant diffusion. The thickness is given to the nearest 5 nm to account for uncertainty in the boundary of the intrinsic and the doped layer. The area dependence of the capacitance density was verified using the measured device diameters. It was found that the capacitance density varied by a maximum of ±1% across diameters of 100 to 800 μm. Fitted CV curves, along with experimental data, are shown in Fig. 2 for all three devices.

FIG. 2.

Capacitance voltage measurements for the (a) 135 nm intrinsic width p-i-n, (b) 300 nm intrinsic width p-i-n, and (c) 135 nm intrinsic width n-i-p. The solid line represents simulated data, while the symbols show experimentally found data, confirmed to be consistent across device diameters.

FIG. 2.

Capacitance voltage measurements for the (a) 135 nm intrinsic width p-i-n, (b) 300 nm intrinsic width p-i-n, and (c) 135 nm intrinsic width n-i-p. The solid line represents simulated data, while the symbols show experimentally found data, confirmed to be consistent across device diameters.

Close modal

The primary photocurrent generated in p-i-n and n-i-p photodiodes is known to vary with the depletion width, and hence, this was fitted at low bias, allowing the multiplication factor to be calculated accurately.9 The multiplication resulting from both pure electron and pure hole injection is shown in Fig. 3. These results were measured on devices with a range of diameters to ensure the area independence. Additionally, the multiplication was modelled for comparison and use in fitting the ionisation coefficients. This was achieved using the method of recurrent integrals with a hard threshold dead space, as described by Hayat et al.8 

FIG. 3.

Multiplication for (a) p-i-n structures and (b) n-i-p structure as a function of reverse bias for 135 nm (▪) and 300 nm (◻) intrinsic widths. Square (▪) and circle (●) symbols indicate devices with a diameter of 400 μm, while triangle (▲) symbols represent 200 μm diameter devices. The lines show simulated Me (a) and Mh (b), calculated using the fitted ionisation coefficients and the diodes' respective electric field profiles.

FIG. 3.

Multiplication for (a) p-i-n structures and (b) n-i-p structure as a function of reverse bias for 135 nm (▪) and 300 nm (◻) intrinsic widths. Square (▪) and circle (●) symbols indicate devices with a diameter of 400 μm, while triangle (▲) symbols represent 200 μm diameter devices. The lines show simulated Me (a) and Mh (b), calculated using the fitted ionisation coefficients and the diodes' respective electric field profiles.

Close modal

By chi-squared reduction, an evolutionary algorithm was used to fit the electric field dependent impact ionisation coefficients for electrons (α) and holes (β) in the parameterised form given by Eq. (1), where A, B, and C are fitting parameters and E is the electric field.10 The values for electron and hole threshold energies, Eth(e) and Eth(h), respectively, were also simultaneously found from the fitting

(1)

The evolutionary algorithm converged to the non-local impact ionisation coefficients in Eqs. (2) and (3). These are valid for an electric field range of 150–550 kV cm−1 with ionisation threshold energies of Eth(e) = 1.74 eV and Eth(h) = 3.38 eV. The coefficients are plotted in Fig. 4, which also compares them to the reported coefficients for selected III–V materials.

(2)
(3)

The breakdown voltage of the thinnest devices sets the upper limit of the field range of our impact ionisation coefficients. As can be seen from Fig. 4, the impact ionisation coefficients for AlGaAsSb are higher over the investigated field range than other III–V materials. Furthermore, the hole coefficient is higher than the electron coefficient which is uncommon among the III–V materials but does feature in InP, certain compositions of AlGaSb,14 and lower Al concentrations of AlGaAsSb.15 Grzesik et al.15 reported that β > α in AlxGa1−xAsySb1−y for x = 0.55 and y = 0.045 over the investigated field range of 160–400 kV cm−1. As an alternative material lattice matched to GaSb, the alloy AlInAsSb has been found to exhibit α > β;7 however, the alloy compositions studied differ significantly from AlGaAsSb reported in this work.

FIG. 4.

A comparison of the obtained coefficients for AlGaAsSb with those reported for Al0.8Ga0.2As,11 GaAs12 and InP.13 Solid symbols represent the electron ionisation coefficients, and open symbols represent the hole ionisation coefficients.

FIG. 4.

A comparison of the obtained coefficients for AlGaAsSb with those reported for Al0.8Ga0.2As,11 GaAs12 and InP.13 Solid symbols represent the electron ionisation coefficients, and open symbols represent the hole ionisation coefficients.

Close modal

Due to the majority of the III–V materials behaving differently, this property has been investigated previously. For InP, Brennan and Hess.16 proposed that the reversal in the coefficient ratio, such that β > α, is caused by the difference between the ionisation threshold energies, Eth(e) = 2.10 eV and Eth(h) = 1.55 eV. However, more recent studies have reported similar ionisation threshold energies for electrons and holes. Saleh et al.17 fitted Eth(e) = 2.05 eV and Eth(h) = 2.20 eV, while Tan et al.13 fitted Eth(e) = 2.8 eV and Eth(h) = 3.0 eV. Hence, these results do not support the theory of Brennan and Hess16 and show that a higher hole ionisation coefficient and hole threshold energy are not mutually exclusive, as also observed in this work.

Hildebrand et al.14 put a different proposal forward to explain their finding that β > α in AlGaSb. They concluded that the hole coefficient exhibited “resonant enhancement” when the valence band spin-orbit split-off energy (ΔSO) was equal to the direct bandgap energy (EgΓ). Since the composition of our material is so AlSb-rich and the bowing parameter for the split off band is unknown, we estimate ΔSO to be approximately equal to that for AlSb (0.676 eV).18 In comparison, we calculate EgΓ to be 2.01 eV18 and the ratio ΔSO/EgΓ as 0.34, far away from the value of 1 where resonance is proposed to occur. Hence, following our initial study, we can only conclude that β > α in AlGaAsSb due to a lower average scattering rate for holes compared to electrons at the elevated energies required for ionisation.

If the intrinsic width of a p-i-n APD is reduced, tunnelling currents become increasingly significant, eventually dominating the total leakage current with deleterious effects on the signal to noise ratio. In comparison to other III–V materials, it is noteworthy that no tunnelling currents were observed in the AlGaAsSb diodes despite the minimum investigated intrinsic region thickness of only 135 nm. The absence of tunnelling currents was confirmed by temperature dependent leakage current characterisation. In light of this, it should be possible to extend the ionisation coefficient electric field range to higher values in the future using thinner intrinsic widths. In general, the minimum useful intrinsic width for a given material principally depends upon its bandgap and the magnitude of its ionisation coefficients. In the case of AlGaAsSb, it is proposed that both the high ionisation coefficients, as shown in Fig. 4, and a large EgΓ contribute to even the thinnest diodes reaching desirable avalanche breakdown before any tunnelling becomes evident. AlGaAsSb has a direct bandgap energy of EgΓ= 2.01 eV (Ref. 18) which is significantly larger than those of GaAs (1.42 eV) and InP (1.34 eV),1 hence presenting a higher potential barrier and suppressing tunnelling probability. In this comparison, the direct bandgap energy is used since a momentum change would be required for an electron to tunnel into the X-valley, which lies below the Γ-valley.

As a consequence of the high ionisation coefficients, suppressed tunnelling, and usable thin intrinsic widths, we believe that AlGaAsSb APDs can be designed with a lower operating voltage than has been achieved with other III–V materials. To test this, the multiplication within p-i-n APDs, with the same 135 nm intrinsic thickness as our thinnest device, was modelled using the impact ionisation coefficients reported for different III-V materials.11–13 As shown in Fig. 5, the AlGaAsSb p-i-n APD displays an increased multiplication factor at all reverse biases, compared to GaAs, InP, and Al0.8Ga0.2 As. By extension, a SAM APD with a multiplication region of AlGaAsSb, as proposed earlier, would also require a lower operating bias. Furthermore, for the 135 nm intrinsic width modelled, GaAs and InP would be susceptible to tunnelling currents as shown in the inset in Fig. 5. The tunnelling current in InP has been calculated as described by Forrest et al.19 using the values obtained by Tan et al.,13 while GaAs has been modelled using the work of Benz et al.20 From these models, we find that at an operating multiplication factor of 11, the tunnelling currents for GaAs and InP are 17.7 mA cm−2 and 3.5 mA cm−2, respectively. This would clearly introduce undesirable noise in comparison to the AlGaAsSb APD.

FIG. 5.

A comparison of simulated multiplication for p-i-n APDs with 135 nm intrinsic widths using different materials. Inset: the tunnelling current (J) in the GaAs and InP p-i-n APDs. Dashed lines represent the tunnelling current at a typical operating voltage where M = 11.

FIG. 5.

A comparison of simulated multiplication for p-i-n APDs with 135 nm intrinsic widths using different materials. Inset: the tunnelling current (J) in the GaAs and InP p-i-n APDs. Dashed lines represent the tunnelling current at a typical operating voltage where M = 11.

Close modal

Over a field range of 150 to 550 kV cm−1, we report the electron and hole impact ionisation coefficients of AlGaAsSb. These were found by using an evolutionary fitting algorithm, which took into consideration the positional dependence of the electric field and calculated the multiplication for candidate coefficients. An ionisation threshold energy was implemented to account for the dead space traversed by injected and ionised carriers. The electron and hole coefficients are found to be atypically high, indicating the material's suitability for use in low operating voltage GaSb-based SAM APDs, supporting applications in the extended IR.

The authors would like to thank Innovate UK for providing funding under Project No. 102675 and the Centre for Defence Enterprise (DSTL1000108318). The authors also wish to thank the UK Engineering and Physical Sciences Research Council for the studentship provided to X. Collins (Grant No. EP/N50950411) (United Kingdom Patent Application No. 1711138.6).

1.
S. M.
Sze
and
K. K.
Ng
,
Physics of Semiconductor Devices
, 3rd ed. (
John Wiley & Sons, Inc
.,
Hoboken, New Jersey
,
2007
).
2.
M.
Lahrichi
,
G.
Glastre
,
E.
Derouin
,
D.
Carpentier
,
N.
Lagay
,
J.
Decobert
, and
M.
Achouche
,
IEEE Photonics Technol. Lett.
22
,
1373
(
2010
).
3.
J.
Beck
,
C.
Wan
,
M.
Kinch
,
J.
Robinson
,
P.
Mitra
,
R.
Scritchfield
,
F.
Ma
, and
J.
Campbell
,
J. Electron. Mater.
35
,
1166
(
2006
).
4.
A. R. J.
Marshall
,
J. P. R.
David
, and
C. H.
Tan
,
IEEE Trans. Electron Devices
57
,
2631
(
2010
).
5.
A. P.
Craig
,
C. J.
Reyner
,
A. R. J.
Marshall
, and
D. L.
Huffaker
,
Appl. Phys. Lett.
104
,
213502
(
2014
).
6.
S. D.
Lord
,
NASA Technical Memorandum Report No. 103957
,
1992
.
7.
S. R.
Bank
,
S.
Member
,
J. C.
Campbell
,
S. J.
Maddox
,
M.
Ren
,
A.
Rockwell
,
M. E.
Woodson
, and
S. D.
March
,
IEEE J. Sel. Top. Quantum Electron.
24
,
3800407
(
2018
).
8.
M. M.
Hayat
,
B. E.
Saleh
, and
M. C.
Teich
,
IEEE Trans. Electron Devices
39
,
546
(
1992
).
9.
M. H.
Woods
,
W. C.
Johnson
, and
M. A.
Lampert
,
Solid State Electron.
16
,
381
(
1973
).
10.
G. E.
Stillman
and
C. M.
Wolfe
,
Semiconductors and Semimetals
, 12th ed. (
Academic Press, Inc
,
London
,
1977
).
11.
B. K.
Ng
,
J. P. R.
David
,
S. A.
Plimmer
,
G. J.
Rees
,
R. C.
Tozer
,
M.
Hopkinson
, and
G.
Hill
,
IEEE Trans. Electron Devices
48
,
2198
(
2001
).
12.
G. E.
Bulman
,
V. M.
Robbins
,
K. F.
Brennan
,
K.
Hess
, and
G. E.
Stillman
,
IEEE Electron Device Lett.
4
,
181
(
1983
).
13.
L. J. J.
Tan
,
J. S.
Ng
,
C. H.
Tan
, and
J. P. R.
David
,
IEEE J. Quantum Electron.
44
,
378
(
2008
).
14.
O.
Hildebrand
,
W.
Kuebart
, and
M. H.
Pilkuhn
,
Appl. Phys. Lett.
37
,
801
(
1980
).
15.
M.
Grzesik
,
J.
Donnelly
,
E.
Duerr
,
M.
Manfra
,
M.
Diagne
,
R.
Bailey
,
G.
Turner
, and
W.
Goodhue
,
Appl. Phys. Lett.
104
,
162103
(
2014
).
16.
K.
Brennan
and
K.
Hess
,
Phys. Rev. B
29
,
5581
(
1984
).
17.
M. A.
Saleh
,
M. M.
Hayat
,
P. P.
Sotirelis
,
A. L.
Holmes
,
J. C.
Campbell
,
B. E. A.
Saleh
, and
M. C.
Teich
,
IEEE Trans. Electron Devices
48
,
2722
(
2001
).
18.
I.
Vurgaftman
,
J. R.
Meyer
, and
L. R.
Ram-Mohan
,
J. Appl. Phys.
89
,
5815
(
2001
).
19.
S. R.
Forrest
,
M.
Didomenico
, Jr.
,
R. G.
Smith
, and
H. J.
Stocker
,
Appl. Phys. Lett.
36
,
580
(
1980
).
20.
C.
Benz
,
M.
Claassen
, and
D.
Liebig
,
J. Appl. Phys.
81
,
3181
(
1997
).