Samarth Aggarwal1, Tara Milne1, Nikolaos Farmakidis1, Johannes Feldmann1, Xuan Li1, Yu Shu1, Zengguang Cheng1,2, Martin Salinga3, Wolfram Hp Pernice4, Harish Bhaskaran1. 1. Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K. 2. State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China. 3. Institut für Materialphysik, Westfälische Wilhelms-Universität Münster, Wilhelm-Klemm-Straße 10, 48149, Münster, Germany. 4. Kirchhoff-Institute for Physics, Heidelberg University, 69120 Heidelberg, Germany.
Abstract
The use of nonlinear elements with memory as photonic computing components has seen a huge surge in interest in recent years with the rise of artificial intelligence and machine learning. A key component is the nonlinear element itself. A class of materials known as phase change materials has been extensively used to demonstrate the viability of such computing. However, such materials continue to have relatively slow switching speeds, and issues with cyclability related to phase segregation of phase change alloys. Here, using antimony (Sb) thin films with thicknesses less than 5 nm we demonstrate reversible, ultrafast switching on an integrated photonic platform with retention time of tens of seconds. We use subpicosecond pulses, the shortest used to switch such elements, to program seven distinct memory levels. This portends their use in ultrafast nanophotonic applications ranging from nanophotonic beam steerers to nanoscale integrated elements for photonic computing.
The use of nonlinear elements with memory as photonic computing components has seen a huge surge in interest in recent years with the rise of artificial intelligence and machine learning. A key component is the nonlinear element itself. A class of materials known as phase change materials has been extensively used to demonstrate the viability of such computing. However, such materials continue to have relatively slow switching speeds, and issues with cyclability related to phase segregation of phase change alloys. Here, using antimony (Sb) thin films with thicknesses less than 5 nm we demonstrate reversible, ultrafast switching on an integrated photonic platform with retention time of tens of seconds. We use subpicosecond pulses, the shortest used to switch such elements, to program seven distinct memory levels. This portends their use in ultrafast nanophotonic applications ranging from nanophotonic beam steerers to nanoscale integrated elements for photonic computing.
With ever-increasing
demands
for computing and electronics reaching a limit, all-photonic neuromorphic
computing architectures based on nonlinear attenuating elements have
gained prominence.[1−5] Phase change materials are strong candidates, as they are not only
effective attenuators but retain their state once programmed, providing
a “non-volatile memory” element.[6−11] Neuromorphic photonic computing using phase change materials offers
faster computing speeds, particularly in throughput, but the performance
is usually limited by the switching speeds of the phase change materials,
which limits the training speeds achievable.[12,13]Conventional phase change materials like Ge2Sb2Te5 (GST) and Ag3In4Sb76Te17 (AIST) have shown to be effective for many
applications
in photonic computing.[14] However, the shortcomings
of these materials are two-fold. The first drawback of these materials
is their switching speed. This is determined by their crystallization
speed, which is typically of the order of 5–100 ns,[10,11] although speeds of less than a nanosecond in GST have been reported.[15] A second drawback is the compositional integrity
of these alloys; ternary and quaternary PCMs undergo phase separation[16−18] over several switching cycles which limits their cyclability. Related
to compositional integrity is the difficulty in fine-tuning the target
composition to ensure the correct stoichiometry, control of this is
crucial to ensure phase stability, and cycling endurance.[19]The issue of compositional integrity can
be mitigated by using
a single element, however not all elements are active. Elemental Sb
at nanoscale dimensions was known to have different electrical conductance
in amorphous and crystalline state,[20] but
its applications as a nonlinear optical material were not fully explored.
Recently, it was shown that nanoscale thin films of Sb can be switched
electrically[21,22] and optically.[23] In this paper, we demonstrate the integration of nanoscale
Sb films in integrated photonics and perform on chip switching using
subpicosecond laser pulses which couple to Sb evanescently. This is
the first instance of their use in integrated photonics, which sets
the stage for their potential use in a range of applications ranging
from computing to routing.
Switching between Binary States
Our initial experiments were designed to investigate whether it
was possible to switch antimony thin films on an integrated device. Figure a illustrates our
device, which includes a partially etched SOI waveguide (450 nm wide
on 220 nm SOI substrate with etch depth of 120 nm) operating at 1550
nm wavelength. It is known that it is important to confine the thickness
of the Sb films below 10 nm to obtain nonvolatile switching behavior.[22,23] Thus, Sb of thickness 3 nm is sputtered on top the waveguide, Figure c, following a patterning
step to define the geometry of the Sb film; unlike with the use of
phase change materials, here we use no capping layers. This is because,
as we show in SI Section S4, there is no
evidence of oxide layer formation on the Sb.
Figure 1
(a) Schematic of SOI
waveguide with 3 nm Sb, an amorphization pulse
(WRITE) or crystallization pulse (ERASE) is used to switch the PCM.
(b) An SEM image showing the device structure, which includes a waveguide
with grating couplers. White dotted box shows the PCM deposited on
the waveguide. (c) AFM image of the region inside the box in (b) confirms
the thickness of Sb to be 3 nm, (d) Zoomed-in SEM image showing device
with Sb on the waveguide. (e) Frequency domain simulations using COMSOL
showing the E-field distribution in silicon waveguide with 3 nm thick
Sb. The colors represents the normalized (in the range 0–1)
intensity of the electric field. Crystalline Sb is highly absorptive
and thus results in lower transmission.
(a) Schematic of SOI
waveguide with 3 nm Sb, an amorphization pulse
(WRITE) or crystallization pulse (ERASE) is used to switch the PCM.
(b) An SEM image showing the device structure, which includes a waveguide
with grating couplers. White dotted box shows the PCM deposited on
the waveguide. (c) AFM image of the region inside the box in (b) confirms
the thickness of Sb to be 3 nm, (d) Zoomed-in SEM image showing device
with Sb on the waveguide. (e) Frequency domain simulations using COMSOL
showing the E-field distribution in silicon waveguide with 3 nm thick
Sb. The colors represents the normalized (in the range 0–1)
intensity of the electric field. Crystalline Sb is highly absorptive
and thus results in lower transmission.Using grating couplers, light is coupled in and out of our devices,
as shown in an SEM image in Figure b,d. We use finite element modeling [COMSOL multiphysics
frequency domain simulation] to calculate the degree of transmission
through the waveguide for Sb in both the amorphous and crystalline
states. The change in transmission arises due to the difference in
absorption of the two states, as shown in Figure e. The light within the waveguide couples
evanescently to the Sb film; the crystalline phase of nanometer-thin
films of Sb absorbs more light when compared to its amorphous phase,
as it has a higher attenuation coefficient k (k = 2.81 for crystalline and k = 0.61 for
amorphous Sb at 1550 nm[23]). Therefore,
we expect a change in the transmission of the waveguide which depends
on the solid phase of Sb.We initially crystallize Sb by annealing
our device at 230 °C
for 5 min in air on a hot plate; this allows the Sb to be in a more
absorptive state, which enables more efficient near-field absorption
of light. We use a fiber-coupled femtosecond laser (PriTel FFL-TW)
in order to characterize the switching of these materials in integrated
photonics. Light is coupled into and out of the device using grating
couplers; details of the experimental setup are described in Figure S1. Using a single femtosecond pulse of
high energy 194 ± 35pJ, we can switch Sb to its amorphous state
(Write); we measure this as an increase in the transmission through
the device using our probe laser, as this state is less absorptive.
To crystallize (Erase) the material, we send 100 low energy pulses
with an individual pulse of energy 45 ± 9pJ (total energy 4.5
nJ).A lower energy pulse results in a smaller volume being
above the
recrystallization temperature. Therefore, multiple pulses are used
to achieve reversible switching. In this work, we have not optimized
the thermal design of the system nor have we determined the appropriate
pulsing energy. As will be seen later in this manuscript, a different
volume of the material requires experimental determination of the
pulse sequence separately. We anticipate that with progress in this
field through more research, these processes will be better understood
similar to our current understanding in GST devices.[10]As shown in Figure a, we can switch the material between these two states
for lengths
of Sb down to 4 μm. For longer lengths of 10 μm, we achieve
a higher (8%) contrast in the readout signal (Figure b). Here, contrast is defined as the percentage
change in readout signal at time t = 5 s after amorphization
pulse. For consistency of results, we use Sb of 10 μm length
in the following experiments. Figure c shows that this process is repeatable for more than
50 cycles with a variability below 2%. This variability is attributed,
in our case, to the variation in the pulse energies. In principle,
a single element PCM should have superior cycling endurance; however,
cyclability is a complex phenomenon. It is a function of not only
the material but also delamination of thin films, determination of
optimum switching pulse energies, and the use of capping layers. This
work does not address those aspects. Future work must include more
rigorous experimentation and analysis in order to verify how much
the benefits of single element memories eventually increase cyclability.
Figure 2
Binary
switching on a waveguide, (a) Sb (length = 4 μm) on
a waveguide switched using single, high energy (194 ± 35pJ) femtosecond
pulse (800 fs) (amorphization pulse, red dashed vertical lines indicate
this pulse). One hundred low energy (45 ± 9pJ) pulses (crystallization
sequence, blue dashed lines indicate when this is sent) crystallize
the sample. (b) Sb (length = 10 μm) switched between amorphous
and crystalline phase as in (a). As expected, longer length results
in higher contrast. (c) Multiple switching of device in (b). (d) Demonstration
of both single-pulse amorphization and crystallization for the same
device as in (b,c) by fine-tuning the pulse energies; a single pulse
is enough for binary switching. The red dashed lines represent the
pulse number at which an amorphization pulse of energy 91 ± 7pJ
is sent, while the blue dashed lines represent a crystallization pulse
of energy 59 ± 11pJ.
Binary
switching on a waveguide, (a) Sb (length = 4 μm) on
a waveguide switched using single, high energy (194 ± 35pJ) femtosecond
pulse (800 fs) (amorphization pulse, red dashed vertical lines indicate
this pulse). One hundred low energy (45 ± 9pJ) pulses (crystallization
sequence, blue dashed lines indicate when this is sent) crystallize
the sample. (b) Sb (length = 10 μm) switched between amorphous
and crystalline phase as in (a). As expected, longer length results
in higher contrast. (c) Multiple switching of device in (b). (d) Demonstration
of both single-pulse amorphization and crystallization for the same
device as in (b,c) by fine-tuning the pulse energies; a single pulse
is enough for binary switching. The red dashed lines represent the
pulse number at which an amorphization pulse of energy 91 ± 7pJ
is sent, while the blue dashed lines represent a crystallization pulse
of energy 59 ± 11pJ.To test the switching speed of our device, we perform time-resolved
switching experiments as described in Figure S2. For a Write pulse, we obtain 500 MHz speed of operation using a
single sub picosecond pulse.We then demonstrate that a single
low power femtosecond pulse crystallizes
the material this is shown in Figure d. When the pulse energy is above the threshold (91
± 7pJ) required to amorphize Sb we observe that the transmission
changes (i.e., switching occurs). For powers below the amorphization
threshold but above that required for crystallization (59 ± 11pJ),
we observe crystallization. However, as seen in Figure d, using a single crystallization pulse does
not form a stable memory level. Unlike multiple crystallization pulses,
a single crystallization pulse results in an incomplete crystallization
of the amorphous Sb volume. This intermediate crystalline level results
in lower absorption of pulse energy and hence a lower contrast. We
examine the effect of pulse energy, contrast, and stability of the
memory operation in the later section.
Programming Multiple Levels
Our next experiments seek to verify whether it is possible to reach
intermediate transmission states by partially switching Sb. Analogous
to photonic phase change memories,[24] increasing
the switching volume results in a higher contrast, as a larger area
interacts with the near-field of the light transmitted within the
waveguide. By changing the power used, the volume of Sb amorphized
or crystallized can be controlled. Thus, by fine-tuning the pulse
energy, we achieve multilevel programming as a function of discrete
states of transmission. Figure a shows four distinguishable states that are programmed by
varying the pulse energy. By sending a single pulse of fixed (800
fs) width and by varying the pulse energy (145 ± 6pJ, 150 ±
6pJ and 160 ± 5pJ), we reliably achieve three distinguishable
states. We can achieve these states both arbitrarily and sequentially
in ascending order, by sending a WRITE pulse corresponding to the
desired level. For example, in Figure a a single pulse of 800 fs duration and 160pJ energy
is sufficient to reach level L3 from either of the lower levels, L1
or L2. Once at a higher level, the lowest level L0, can be achieved
by sending 100 low energy pulses of energy 101 ± 14pJ (ERASE).
Figure 3
(a) Multilevel
programming in Sb. Four distinct levels of transmission
are programmed (termed as L0, L1, L2, and L3) using a single femtosecond
(pulse width 800 fs) WRITE pulse (termed W1, W2, and W3) of energies
145 ± 6pJ, 150 ± 6pJ and 160 ± 5pJ, respectively. ERASE
is achieved by sending 200 pulses of 100pJ femtosecond pulses. (b)
Repeatedly reaching seven memory levels (L0–L6) by WRITE pulses
W1–W6 (pulse energies 121 ± 7pJ, 144 ± 5pJ, 160 ±
5pJ, 174 ± 4pJ, 204 ± 4pJ, and 231 ± 4pJ respectively).
(c) The pulse energies corresponding to each level.
(a) Multilevel
programming in Sb. Four distinct levels of transmission
are programmed (termed as L0, L1, L2, and L3) using a single femtosecond
(pulse width 800 fs) WRITE pulse (termed W1, W2, and W3) of energies
145 ± 6pJ, 150 ± 6pJ and 160 ± 5pJ, respectively. ERASE
is achieved by sending 200 pulses of 100pJ femtosecond pulses. (b)
Repeatedly reaching seven memory levels (L0–L6) by WRITE pulses
W1–W6 (pulse energies 121 ± 7pJ, 144 ± 5pJ, 160 ±
5pJ, 174 ± 4pJ, 204 ± 4pJ, and 231 ± 4pJ respectively).
(c) The pulse energies corresponding to each level.Furthermore, we achieved seven distinguishable memory levels
by
increasing the WRITE pulse energies (from 121 ± 7pJ to 231 ±
4pJ), as shown in Figure b. We note that the variation in the pulse energies we report
here in Figure c
is because of the noise of the energy-meter sensitivity (Ophir PD10-IR).
To recrystallize, we send about 200 pulses in this higher contrast
regime as compared to 100 pulses in the binary regime.We then
investigate the effect of probe power on switching contrast
and stability of memory states. We observe that the maximum contrast
in the readout signal that can be achieved decreases with an increase
in probe power (Figure a). As before, we use a single femtosecond pulse for amorphization
and multiple low energy pulses for crystallization. In Figure b, we plot the normalized transmission
and examine the time required for transmission to fall to 60% of its
original value. We find an increase in probe power leads to a faster
decay time. Similar behavior is observed in phase change materials
like GST[25] where an increase in Probe power
results in recrystallization and therefore shorter retention time.
However, unlike GST, where higher probe power leads to a higher contrast,
we observe a lower contrast for Sb.
Figure 4
(a) Effect of the probe power on the maximum
transmission achieved
for a given pump power. An increase in probe power results in a decreased
maximum change in the readout. (b) Effect of probe power on the retention
time. We normalize individual plots between 0 and 1 corresponding
to the lowest (crystalline) and the highest (amorphous) transmission.
We plot the time required to reach 60% of the maximum change in readout.
Increasing the probe power decreases the retention time. (c) Effect
of both probe and pump power on the maximum readout contrast. A high
pump and low probe power lead to the maximum change in the readout.
(d) Effect of pump and probe power on retention time (time required
to reach 90% of maximum change in readout). The volatility of Sb is
controlled by varying either or both. (e) Long-term stability of 4
and 10 μm long amorphous Sb, switched from crystalline phase
using 409 pJ a single femtosecond pulse. Normalization is done as
in panel b.
(a) Effect of the probe power on the maximum
transmission achieved
for a given pump power. An increase in probe power results in a decreased
maximum change in the readout. (b) Effect of probe power on the retention
time. We normalize individual plots between 0 and 1 corresponding
to the lowest (crystalline) and the highest (amorphous) transmission.
We plot the time required to reach 60% of the maximum change in readout.
Increasing the probe power decreases the retention time. (c) Effect
of both probe and pump power on the maximum readout contrast. A high
pump and low probe power lead to the maximum change in the readout.
(d) Effect of pump and probe power on retention time (time required
to reach 90% of maximum change in readout). The volatility of Sb is
controlled by varying either or both. (e) Long-term stability of 4
and 10 μm long amorphous Sb, switched from crystalline phase
using 409 pJ a single femtosecond pulse. Normalization is done as
in panel b.We further extend these experiments
and observe the change in transmission
and retention time on both pump and probe power. These experiments
result in two important observations. First, as shown in Figure c, a higher pump
power leads to an increased contrast in the readout and an increase
in probe power results in decreased contrast. Second, there is a direct
correlation between contrast and retention time. As represented in Figure c,d, higher contrast
results in higher retention time. Here, we define retention time as
time required to reach 90% of the maximum contrast. The samples with
similar contrast, for example (probe power 0.1 mW and pump energy
294 pJ) and probe (0.5 mW with pump energy 326 pJ), have a similar
retention time of 1.1 s. Understanding this direct correlation between
contrast and retention time requires further analysis of recrystallization
dynamics using in situ imaging techniques, beyond the scope of this
work.Finally, we look at the long-term switching stability
of amorphous
Sb for the devices in Figure e. We use a reference device without Sb (Figure S5), to account for stage drift and fluctuations in
probe laser power over time. At time t = 0, we switch
to amorphous phase using a single femtosecond pulse of 409 pJ and
monitor the drop in transmission. The 4 and 10 μm long devices
have a recrystallization 100 and 200 s, respectively. The intrinsic
transient behavior can be used to implement leaky integrate and fire
neurons[26,27] and can be used for applications requiring
combination of short- and long-term plasticity in neurons.[28]We have further looked at the stability
of intermediate memory
levels, as described in SI Section S7.
We observe stability of intermediate memory levels over 100 ms with
a variation in readout of 2%. With a clock speed of only 1 GHz, millions
of operations are possible, sufficient to carry out calculations such
as tensor core operations[1−4] and associative learning.[29]
Conclusions
We have demonstrated for the first time that
nanoscale thin films
of antimony act as programmable elements on integrated waveguides.
We switch the device with a single femtosecond pulse, which corresponds
to a speed of 500 MHz. We demonstrate that Sb can be programmed beyond
two states and achieve up to seven different discernible states, setting
the stage for future improvements that could lead to higher-bit accuracy
programming. The use of single element ultrathin films allows for
potential thickness scaling, while also enabling long-term cyclability
because of the lack of phase separations induced by repeated phase
transitions. This opens up a plethora of applications in computing,
where high cyclability and ultrafast speeds are required, such as
efficient vector–matrix multiplications[1,3,4] and accumulative processing[2,30−32]
Methods
Device Fabrication
The fabrication of waveguides is
done using 220 nm Silicon on 3 μm oxide. The waveguides are
patterned using electron-beam lithography using a positive photoresist.
The pattern waveguide is then partially dry etched (etch depth 120
nm). The fabricated waveguides are subjected to the second round of
patterning to open windows for Sb deposition using radio frequency
(RF) sputtering (Nordiko sputtering systems). The thin film of Sb
is deposited from a commercial sputtering target (Testbourne) at a
deposition rate of 3.3 nm/min at 5 mTorr pressure in an argon environment
with 30W RF power.
Experimental Setup
We use a 40 MHz
1550 nm fiber coupled,
femtosecond laser from Pritel (FFL-TW-60MhZ) with a pulse width of
800 fs. Using a home-built pulse picker, we select the number of pulses
through the chip. The pulses are sent through a high peak power EDFA
from Pritel (HPP-PMFA-21–10) to control energy for switching.
Another CW laser is used for probing the transmission and observe
the change in transmission levels after switching. An optical filter
from Santec (OTF-320) is attached to the probe line before a 200 kHz
photodetector (2011-FC-M) from Newport to isolate the pulse and probe
signal. All of the photodetectors are connected to a computer using
a DAQ to record data.
Authors: Martin Salinga; Benedikt Kersting; Ider Ronneberger; Vara Prasad Jonnalagadda; Xuan Thang Vu; Manuel Le Gallo; Iason Giannopoulos; Oana Cojocaru-Mirédin; Riccardo Mazzarello; Abu Sebastian Journal: Nat Mater Date: 2018-06-18 Impact factor: 43.841