We demonstrate a high-efficiency silicon optical phase shifter based on a silicon- |
1.IntroductionSilicon photonics utilizes complementary metal-oxide-semiconductor manufacturing processes to produce integrated photonic devices for optical signal transmission and processing, with a history dating back to the work1–3 of Soref et al. in the 1980s and 1990s. Tuning in silicon photonic devices is typically achieved by adjusting the refractive index of waveguides, which can be realized through free-carrier plasma dispersion or thermo-optic effects. However, the above two refractive index modulation mechanisms suffer from issues such as long phase shifter length and state volatility, which limit the integration scale of silicon photonics and also result in high power consumption. Phase-change materials (PCMs) can undergo reversible conversion between amorphous and crystalline states, and their electrical and optical properties exhibit significant contrast between the two states.4,5 By integrating PCMs on the silicon photonics platform, the size of the device can be effectively reduced, thereby achieving high-density integration.6–8 Another advantage of PCM is its nonvolatile nature, which does not require any power consumption to maintain the state, thus greatly lowering the power consumption.9,10 PCMs that are widely used in the field of silicon photonics include (GST),11–17 (GSST),6,18–23 ,10,24–26 and .7,27–32 Due to the advantages of PCM, they have been widely used in various applications, including optical switches,16,17,33 non-volatile memory,34–36 and optical computing.13,15,19,37 GST and GSST have high material losses in the crystalline state in the 1550 nm wavelength and are hence mainly used in optical on/off switches.16,17,33 and have low loss characteristics in both states, making them more suitable for pure phase modulation.7,10 The phase transition of PCM can be triggered by thermal,13,14,38 optical,12,15,39 or electrical7,11,33 methods, among which the electrical triggering method is highly compatible and scalable with large-scale photonic integrated circuits. For electrical triggering on the silicon platform, the microheater is typically formed by doped silicon7 or P-I-N diode (PIN) heaters.11 However, for the silicon nitride platform, other options need to be considered, such as indium tin oxide (ITO)23 or graphene.40 Graphene, as a two-dimensional material with excellent electrical and thermal properties, has been introduced into the phase-change photonics platform.40–43 However, the endurance of graphene microheaters in the previous work is not high, and they experience heater failure issues.42 This limits the application of graphene microheaters in phase-change photonics. In this work, we report a novel silicon-PCM hybrid integrated phase shifter by putting a low-loss strip onto a thin silicon slab. This integration enhances the PCM’s ability to control the optical field, thereby reducing the length of the phase shifter. A highly durable single-layer graphene (SLG) is utilized as the microheater to stimulate the phase change of . In our design, graphene is transferred onto the flat silicon slab, ensuring high durability during operation. Compared with PIN or doped-silicon microheaters, graphene is not limited to the silicon platform and can be extended to other platforms such as silicon nitride and lithium niobate. The phase shifter is connected to single-mode silicon waveguides through two-layer taper structures. A Mach–Zehnder interferometer (MZI) structure is constructed by incorporating the proposed phase shifters in two arms. The device achieves over 30,000 effective switching events and corresponds to over 15,000 reversible phase-change cycles. A maximum of 66 switching levels is achieved. To the best of our knowledge, this is a silicon-based phase-change photonic device with the highest number of reversal switchings achieved with a graphene microheater. Our work demonstrates the wide-ranging application potential and growth opportunities for graphene microheaters in phase-change photonics. 2.Device Design and Simulation2.1.Hybrid Integrated WaveguideFigure 1 illustrates the schematic structure of our silicon- hybrid integrated nonvolatile phase shifter. PCMs are typically deposited on top of silicon waveguides,7,42 causing the optical beam within the silicon waveguide to interact with the PCM through weak evanescent wave coupling, resulting in a relatively weak interaction. Here, we design a hybrid integrated waveguide that is composed of a thin layer of silicon slab and an strip on top. The lateral optical confinement is enabled by the strip. Optical waveguide mode has a high overlap with the , greatly reducing the length of the phase shifter. Moreover, transferring graphene onto a flat silicon slab is easier compared with a silicon waveguide with sharp corners. The thickness of the silicon slab layer is . An SLG, possessing high electrical and thermal conductivities, is used as a microheater and placed below . To avoid direct contact between graphene and the underlying silicon slab, resulting in the formation of semiconductor and metal junctions,42 a 10-nm-thick alumina film () separates the graphene from the silicon slab layer. Meanwhile, to prevent potential damage to graphene by subsequent processes and the fracture of graphene caused by volume expansion and contraction42,44,45 during the phase-change process of , another 10-nm-thick alumina layer () is placed between the graphene and the as a protective layer. The cross-section of the strip is 500 nm () × 40 nm (). Considering the high-temperature phase-change process, to avoid direct contact between and air, a third 60-nm-thick alumina layer is used as a protective layer above the . This protective layer also effectively prevents the reflow of the during the amorphization process. The alumina layer above the graphene in the electrode region is etched away to expose the metal surface for electrical probing, as shown in Fig. 1(b). To verify that our proposed hybrid integrated waveguide can effectively confine the fundamental mode, we simulated the electric-field distribution of the transverse electric () optical mode. In the simulation, the refractive indices of in amorphous and crystalline states were set to 3.285+0i and 4.050+0i,46 respectively. Graphene adopts a two-dimensional model based on surface conductivity, which has been supported by Lumerical’s optical simulation kit. Figures 1(d) and 1(e) show the mode electric-field intensity profiles in the cross-section of the hybrid integrated waveguide in the amorphous and crystalline states, respectively. The electric field is more concentrated in the PCM in the crystalline state compared with the amorphous state due to the higher refractive index of . The effective refractive indices of the hybrid integrated waveguide are 2.021+0.0055i in the amorphous state and 2.144+0.0060i in the crystalline state, corresponding to and propagation losses of the phase shifter, respectively. The corresponding phase shift length is expressed as , where and represent the real part of the effective refractive index of the hybrid integrated waveguide in the amorphous and crystalline states, respectively. Therefore, the phase shift length at the 1550 nm wavelength is calculated to be , which is the shortest phase shifter length based on . The insertion loss in the crystalline state for phase shift is , which is mainly caused by the absorption of SLG. In the simulation, when the SLG is removed, then the imaginary part of the effective refractive index becomes 0, which means that the SLG is the main source of the loss. 2.2.Mode ConverterTo connect the phase shifter to a regular silicon waveguide with low transition loss, it is necessary to design a mode converter to adiabatically tailor the silicon waveguide mode to match that of the hybrid integrated waveguide. Figure 2(a) shows our mode converter based on a two-layer tapered structure. The silicon waveguide has cross-sectional dimensions of 500 nm (width) × 220 nm (height). In the taper section, the bottom silicon slab thickness is fixed at 70 nm, the same as that in the hybrid waveguide. The slab width () and the ridge width () at the end of the taper are the two design parameters that need to be determined. We used a three-dimensional finite-difference time-domain simulation to design the mode converter. We performed parameter scans of and to obtain the transmissivity and reflectivity of the mode across the interface between the silicon waveguide and the hybrid integrated waveguide. It should be noted that a high similarity of the waveguide mode profiles will result in a high transmission at the interface. The results for amorphous and crystalline states are shown in Figs. 2(b) and 2(c), respectively. Taking into account the simulation results in both amorphous and crystalline states, we chose and to make a good compromise. The coupling loss in both states is less than 0.23 dB. Besides the interface coupling loss, the taper structure itself can also induce certain mode transition loss. We used the eigenmode expansion method to simulate its transmissivity over different lengths. Figure 2(d) shows the simulation results. Considering the fabrication tolerance, we chose a length of for the mode converter. Figures 2(e) and 2(f) show the waveguide modal profiles before and after the mode converter, respectively. 2.3.Overall Phase ShifterWe then simulated the overall phase shifter including the active hybrid integrated waveguide in the center and two-mode converters at the two ends, as shown in Fig. 3(a). Considering that an excessively large model size will greatly increase the simulation time, we set the length of the mode converter to . The shorted mode converter only slightly increases the loss according to Fig. 2(d). The length of the phase shifter is set to to cover the phase shift length. From the simulated transmission and reflection spectra in Fig. 3(b), the overall insertion loss of the device is less than 2 dB from 1500 to 1600 nm wavelength in both amorphous and crystalline states. The loss mainly comes from the interface coupling loss () and the propagation loss () of the hybrid integrated waveguide. Figures 3(c) and 3(d) illustrate the electric field intensity distributions along two planes both in the amorphous and crystalline states. Light can go through the phase shifter smoothly with only a weak standing-wave pattern observed at the input waveguide end due to the slight reflection at the interface of the hybrid integrated waveguide. 2.4.Graphene MicroheaterWe simulated the temperature distribution in the phase shifter based on the two-dimensional finite element method. Figure 4 illustrates the temperature responses of two phase-change processes. In the simulation, we only considered the resistance of graphene between the electrodes, without taking into account the contact resistance between the graphene and the metal electrodes, which resulted in a reduction of voltage in the simulation compared with the experiment. The SLG sheet resistance of 42 was used in the simulation. In the simulation, the left and right boundaries are set to infinite element domains, and the bottom boundary is set to a fixed temperature (293.15 K). For amorphization, we used an electrical pulse with an amplitude of 3.1 V and a width of to heat above its melting temperature (). For crystallization, we used an electrical pulse with an amplitude of 1.78 V and a width of to heat above its crystallization temperature () and below its melting temperature to ensure crystallization. Figures 4(c) and 4(d) illustrate the temperature distributions at the end of the amorphization pulse and the crystallization pulse, respectively. The temperature at the bottom of is higher than the temperature at the top. Therefore, the material at the bottom will reach the earlier. 3.Device FabricationOur devices were fabricated on the silicon-on-insulator (SOI) wafer, which consists of a top silicon layer with a thickness of 220 nm, a buried oxide layer with a thickness of , and a bottom silicon substrate. The device pattern was formed using electron beam lithography (EBL) from the Vistec EBPG5200 system. First, we spin-coated positive resist (CSAR 6200.09) and defined silicon waveguide patterns on the photoresist using EBL. Then, we transferred the developed pattern onto the SOI substrate through inductively coupled plasma (ICP) dry etching. This process requires a total of three EBL-ICP steps, including 70-nm etch depth to form silicon grating, 150-nm etch to form silicon slab, and 220-nm etch to form silicon waveguide. Subsequently, we used atomic layer deposition (ALD) to grow 10-nm-thick alumina on the silicon chip. Thereafter, we spin-coated polymethyl methacrylate (PMMA) and performed EBL to define the metal electrode region. An Au/Cr (120-/10-nm-thick) electrode was grown by electron beam evaporation and patterned using a lift-off process. An SLG film was transferred onto the substrate by the wet method and formed ohmic contact with the underlying Au layer. Only the necessary graphene was retained using EBL and oxygen plasma etching. To protect the graphene film in subsequent processes, we used ALD to grow a 10-nm-thick alumina film as a protective layer. Next, we spin-coated PMMA and performed EBL to open the window for depositing . A 40-nm-thick film was grown by multi-target magnetron sputtering and patterned using the lift-off process. We next grew 60-nm-thick alumina as a protective layer and used EBL and ICP etching to remove the alumina above the electrode to open the probe contact window. The fabrication process flow can be seen in Fig. 5. Figure 6 shows the optical microscope and scanning electron microscope (SEM) images of the device. From the SEM image, we can see that the etching edge of graphene is visible [as shown by the orange dashed line in Fig. 6(c)] and there is no obvious damage inside, indicating that the graphene film we transferred has high quality and has been well protected in subsequent processes. However, for PCMs [brown area in Fig. 6(c)], we observed an unexpected phenomenon where the film folded. In an ideal scenario, should be a single-layer strip. However, we observed clear folding [yellow area in Fig. 6(d)] on both sides. We speculate that it is because, during the lift-off process, the material located on the sidewall of the PMMA did not detach from the substrate. This irregular structure could introduce additional scattering loss. 4.MeasurementWe used a continuously tunable laser (Agilent 8164B, Santa Clara, California, United States) to measure the optical spectrum in the 1500 to 1580 nm wavelength range. The input polarization was adjusted to TE mode after passing through a polarization controller before it was vertically coupled into the waveguide through a grating coupler. The coupling loss is to 5 dB/facet. The output light from the device was detected by an optical power detector (Agilent 81636B). The electrical pulses used for inducing phase change were generated by an arbitrary waveform generator (AWG, Agilent 81150A) and applied to the electrodes of the device through a pair of metal probes. For each device, we measured its I-V curve (Keysight B2900A, Santa Rosa, California, United States) to obtain the resistance of the graphene microheater and set the load impedance of the AWG to the corresponding value. In this way, the set voltage is the actual voltage loaded onto the device. Before measurement, the chip was thermally annealed at 200°C for 15 min to initialize into the crystalline state. We used the designed phase shifter to construct a MZI, as shown in Fig. 7(a). We first conducted transmission spectrum measurement on routes 2 to 4 of the device, where light is input from port 2 and output from port 4, as shown by the blue curve in Fig. 7(b). To verify that graphene microheaters can effectively induce phase transition, we applied different pulses and monitored the output optical power. Figure 7(c) shows several consecutive measurement results after applying three sets of pulse sequences. The time interval between adjacent pulses is 1 s. The first second of each sequence was measured when no electrical pulse was applied. The first set of pulses [blue curve in Fig. 7(c)] begins at 9 V and increases in a step of 0.2 V, with a fixed pulse width of . A total of five electrical pulses were applied, with a maximum voltage of 9.8 V. During the application of the first pulse sequence, the output optical power of the device remains decreasing, indicating an increasing amorphization. In the second pulse sequence, the voltage was raised from 9 to 9.8 V with a step of 0.2 V, with its pulse width increased to to raise the pulse energy. In the first few pulses, we observed an increase rather than a decrease in output optical power, which means that part of the amorphous had undergone recrystallization. According to the simulation results in Sec. 2.4, we speculate that the energy required for the amorphization of farther away from graphene microheaters should be higher. Therefore, the energy provided by the first few pulses of the second pulse sequence is not sufficient to amorphize the upper part of but rather to recrystallize a portion of that has already been amorphized at the bottom part. When the voltage reaches 9.4 V, the output optical power continues to decrease, indicating that at the upper part also begins to amorphize. For the third set of pulse sequences, we started at 4.6 V and increased with a step of 0.2 V with a fixed pulse width of 700 ms. We applied eight electrical pulses with a maximum voltage of 6 V. On this condition, the output optical power of the device continues to increase, indicating that the has undergone crystallization. During the phase-change process, we measured the transmission spectrum [red curve in Fig. 7(b)] when the output optical power of routes 2 to 4 was at a low level, which corresponds to the case of near-complete amorphization. Now, PCMs have been widely studied in fields such as optical computing and storage, where multi-level transmission programming is required. Therefore, we also investigated the multi-level operational performance of the device. We first applied a set of amorphization pulse sequences with increasing pulse amplitude and a fixed pulse width of . The time interval between adjacent pulses is 1 s. The pulse amplitude started from 9.012 V, with a step of 0.012 V, and a total of 65 electrical pulses were applied. A total of 66 non-volatile output levels were achieved, including the initial state. The output optical power of the device changed by throughout the entire process. We subsequently investigated the multi-level operation during the crystallization process, as shown in Fig. 8(b). The crystallization process adopts a different pulse sequence from the amorphization process. Here, we fixed the pulse amplitude at 5.2 V and increased the pulse width from 55 to 195 ms in a step of 5 ms, resulting in 30 levels of transmission. It can be seen that in the crystallization process, it is more difficult to achieve multi-level operation compared with the amorphization process, which may be caused by the nucleation stochasticity of the crystallization process.47 Note that the measurements have undergone a six-point sliding average filtering to reduce the impact of experimental measurement errors. Another factor that affects the adoption of PCM in integrated photonics applications especially in optical computing and switching is the endurance, which measures the number of times the device can be reconfigured. The endurance of devices is mainly determined by two parts: the PCM and the microheater. Therefore, we also studied the operation up-limit of the device when amorphous and crystalline pulses are applied to continuously change the output optical power between high and low levels. The durability of PCMs is estimated by the variation of extinction ratio (ER), and the endurance of the microheater is estimated by measuring the resistance change of the graphene microheater after applying the pulse sequence. Figure 9 shows the durability test results of the device. We used a short amorphization pulse of 9 V amplitude and width and a long crystallization pulse of 4.6 V amplitude and 800 ms width. The time interval is still 1 s. We continuously applied 30,000 electrical pulses on the device, corresponding to 30,000 switching events and 15,000 reversible cycles. Figures 9(b) and 9(c) show the magnified views of the first 50 and the last 50 reversible cycles, respectively. Initially, the ER of the device was at , and then, it slowly decreased. After 10,000 reversible cycles, the ER decreased to , and the last 50 reversible cycles showed that the ER decreased to . The reduction of the ER is attributed to the performance degradation of .47 After operation for 15,000 reversible cycles, we scanned the I-V curve of the device, as shown in Fig. 9(d). The resistance obtained from the I-V curve is . The contact resistance between graphene and gold is ,42 so the resistance of the graphene film between the electrodes is . This demonstrates that our graphene microheater still maintains low resistance after 15,000 reversible cycles, indicating its high durability. 5.DiscussionTable 1 summarizes the performance specifications of PCM-based phase-change optical devices. On the SOI platform, on-chip heating can be achieved using doped silicon resistors or PIN diodes, while graphene is not limited by the substrate material, thus having a wider range of application prospects. However, some work41,42 based on graphene microheaters in the early stage showed lower reconfigurability times, which are mainly attributed to the failure of graphene microheaters.42 Our work has increased the number of operations of the graphene microheater to over 30,000 times, corresponding to more than 15,000 reversible cycles of the device. Our reversible cycle count has increased by an order of magnitude. To our knowledge, this is currently the highest number of reversible cycles achieved on the graphene microheater. In addition, by finely adjusting the amorphous pulses, we have achieved 66 distinguishable non-volatile output levels. This fully demonstrates that our work has further advanced the application of graphene in phase-change photonics, demonstrating excellent performance and enormous potential in terms of device endurance and multi-level operation. Table 1Comparison with other phase-change optical devices. 6.ConclusionsWe have demonstrated a silicon- hybrid integrated phase shifter based on high-durability graphene microheaters. The phase shifter is formed by depositing the non-volatile low-loss PCM onto the silicon slab layer, with a corresponding phase shift length of only . We applied electrical pulses to graphene microheaters using AWG, causing the material to alternate between amorphization and crystallization. By fine-tuning the electrical pulses applied to graphene, we achieved 66 unique non-volatile levels during the amorphization process, with room for additional optimization and enhancement. By applying alternative amorphization and crystallization pulses to the device, the device shows sustained operation for over 15,000 reversible cycles. Noticeably, graphene microheaters are not solely restricted to silicon-based waveguide platforms but also have great potential for application on and lithium niobate waveguides. The work provides an effective method for integrating graphene into phase-change photonics platforms, offering potential applications in fields such as optical computing and storage. Code and Data AvailabilityThe code, data, and materials that support the findings of this study are available from the corresponding author upon reasonable request. AcknowledgmentsThis work was supported in part by the National Key R&D Program of China (Grant No. 2021YFB2801300), the National Natural Science Foundation of China (Grant Nos. 62135010, 62090052, 62075128, and 62120106010), the Shanghai Science and Technology Committee Rising-Star Program (Grant No. 23QA1404500), and the Open Research Fund of State Key Laboratory of Materials for Integrated Circuits (Grant No. NKLJC-K2023-06). The authors thank the Center for Advanced Electronic Materials and Devices (AEMD) of Shanghai Jiao Tong University (SJTU) for support in device fabrication. ReferencesR. Soref and J. Larenzo,
“All-silicon active and passive guided-wave components for and ,”
IEEE J. Quantum Electron., 22
(6), 873
–879 https://doi.org/10.1109/JQE.1986.1073057 IEJQA7 0018-9197
(1986).
Google Scholar
M. A. Mentzer et al.,
“Kramers-Kronig analysis of electro-optical switching in silicon,”
Proc. SPIE, 0704 32
–37 https://doi.org/10.1117/12.937193
(1987).
Google Scholar
R. A. Soref, J. Schmidtchen and K. Petermann,
“Large single-mode rib waveguides in GeSi-Si and Si-on-,”
IEEE J. Quantum Electron., 27
(8), 1971
–1974 https://doi.org/10.1109/3.83406 IEJQA7 0018-9197
(1991).
Google Scholar
K. Shportko et al.,
“Resonant bonding in crystalline phase-change materials,”
Nat. Mater., 7
(8), 653
–658 https://doi.org/10.1038/nmat2226 NMAACR 1476-1122
(2008).
Google Scholar
X. Sun et al.,
“Realization of multilevel states in phase‐change thin films by fast laser pulse irradiation,”
Adv. Opt. Mater., 5
(12), 1700169 https://doi.org/10.1002/adom.201700169 2195-1071
(2017).
Google Scholar
Y. Zhang et al.,
“Broadband transparent optical phase change materials for high-performance nonvolatile photonics,”
Nat. Commun., 10
(1), 4279 https://doi.org/10.1038/s41467-019-12196-4 NCAOBW 2041-1723
(2019).
Google Scholar
C. Ríos et al.,
“Ultra-compact nonvolatile phase shifter based on electrically reprogrammable transparent phase change materials,”
PhotoniX, 3
(1), 26 https://doi.org/10.1186/s43074-022-00070-4
(2022).
Google Scholar
J. Zheng et al.,
“GST-on-silicon hybrid nanophotonic integrated circuits: a non-volatile quasi-continuously reprogrammable platform,”
Opt. Mater. Express, 8
(6), 1551
–1561 https://doi.org/10.1364/OME.8.001551
(2018).
Google Scholar
Z. Gong et al.,
“Phase change materials in photonic devices,”
J. Appl. Phys., 129
(3), 030902 https://doi.org/10.1063/5.0027868 JAPIAU 0021-8979
(2021).
Google Scholar
R. Chen et al.,
“Non-volatile electrically programmable integrated photonics with a 5-bit operation,”
Nat. Commun., 14
(1), 3465 https://doi.org/10.1038/s41467-023-39180-3 NCAOBW 2041-1723
(2023).
Google Scholar
R. Chen et al.,
“Broadband nonvolatile electrically controlled programmable units in silicon photonics,”
ACS Photonics, 9
(6), 2142
–2150 https://doi.org/10.1021/acsphotonics.2c00452
(2022).
Google Scholar
W. Li et al.,
“Ultracompact high‐extinction‐ratio nonvolatile on‐chip switches based on structured phase change materials,”
Laser Photonics Rev., 16
(6), 2100717 https://doi.org/10.1002/lpor.202100717
(2022).
Google Scholar
X. Li et al.,
“Experimental investigation of silicon and silicon nitride platforms for phase-change photonic in-memory computing,”
Optica, 7
(3), 218
–225 https://doi.org/10.1364/OPTICA.379228
(2020).
Google Scholar
Y. Miyatake et al.,
“Non-volatile compact optical phase shifter based on operating at ,”
Opt. Mater. Express, 12
(12), 4582
–4593 https://doi.org/10.1364/OME.473987
(2022).
Google Scholar
C. Ríos et al.,
“In-memory computing on a photonic platform,”
Sci. Adv., 5
(2), eaau5759 https://doi.org/10.1126/sciadv.aau5759 STAMCV 1468-6996
(2019).
Google Scholar
D. Wu et al.,
“Resonant multilevel optical switching with phase change material GST,”
Nanophotonics, 11
(15), 3437
–3446 https://doi.org/10.1515/nanoph-2022-0276
(2022).
Google Scholar
C. Zhang et al.,
“Nonvolatile multilevel switching of silicon photonic devices with segmented structures,”
Adv. Opt. Mater., 11
(8), 2202748 https://doi.org/10.1002/adom.202202748 2195-1071
(2023).
Google Scholar
W. Li, C. Qiu and A. Wu,
“Nonvolatile reconfigurable phase-shifted Bragg grating filter with tunable wavelength and extinction ratio,”
IEEE Photonics J., 15
(3), 1
–7 https://doi.org/10.1109/JPHOT.2023.3267276
(2023).
Google Scholar
R. R. Ghosh and A. Dhawan,
“Low loss, broadband, and non-volatile ‘directed logic operations’ using phase change materials in silicon photonics,”
IEEE J. Quantum Electron., 59
(3), 1
–13 https://doi.org/10.1109/JQE.2023.3240726 IEJQA7 0018-9197
(2023).
Google Scholar
J. He et al.,
“Design of a multi-functional integrated optical switch based on phase change materials,”
Photonics, 9
(5), 320 https://doi.org/10.3390/photonics9050320
(2022).
Google Scholar
S. Mohammadi-Pouyan, M. Afrouzmehr and D. Abbott,
“Ultra compact bend-less Mach-Zehnder modulator based on GSST phase change material,”
Opt. Mater. Express, 12
(8), 2982
–2994 https://doi.org/10.1364/OME.462079
(2022).
Google Scholar
T. Liu et al.,
“-assisted non-volatile silicon mode selective switch,”
Opt. Mater. Express, 12
(7), 2584
–2593 https://doi.org/10.1364/OME.462836
(2022).
Google Scholar
F. De Leonardis et al.,
“Broadband electro-optical crossbar switches using low-loss phase change material,”
J. Lightwave Technol., 37
(13), 3183
–3191 https://doi.org/10.1109/JLT.2019.2912669 JLTEDG 0733-8724
(2019).
Google Scholar
H. Chen et al.,
“Ultra-compact -silicon hybrid integrated arbitrarily cascaded tunable mode converter,”
IEEE Photonics J., 14
(2), 1
–7 https://doi.org/10.1109/JPHOT.2022.3162646
(2022).
Google Scholar
C. Song et al.,
“Compact nonvolatile 2x2 photonic switch based on two-mode interference,”
Opt. Express, 30
(17), 30430
–30440 https://doi.org/10.1364/OE.467736 OPEXFF 1094-4087
(2022).
Google Scholar
A. Alquliah et al.,
“Reconfigurable metasurface-based 1 × 2 waveguide switch,”
Photonics Res., 9
(10), 2584
–2593 https://doi.org/10.1364/PRJ.428577
(2021).
Google Scholar
H. Jin et al.,
“Compact nonvolatile polarization switch using an asymmetric -loaded silicon waveguide,”
Opt. Express, 31
(6), 10684
–10693 https://doi.org/10.1364/OE.482817 OPEXFF 1094-4087
(2023).
Google Scholar
K. Lei et al.,
“Magnetron-sputtered and thermal-evaporated low-loss Sb-Se phase-change films in non-volatile integrated photonics,”
Opt. Mater. Express, 12
(7), 2815
–2823 https://doi.org/10.1364/OME.462426
(2022).
Google Scholar
D. Lawson et al.,
“Time-resolved reversible optical switching of the ultralow-loss phase change material ,”
J. Opt., 24
(6), 064013 https://doi.org/10.1088/2040-8986/ac5ece
(2022).
Google Scholar
Y. Fei et al.,
“On-chip reconfigurable and ultracompact silicon waveguide mode converters based on nonvolatile optical phase change materials,”
Nanomaterials, 12
(23), 4225 https://doi.org/10.3390/nano12234225
(2022).
Google Scholar
W. Jia et al.,
“Reconfigurable and programmable optical devices with phase change materials and ,”
Proc. SPIE, 12196 1219604 https://doi.org/10.1117/12.2633641 PSISDG 0277-786X
(2022).
Google Scholar
Y. Su, D. Liu and M. Zhang,
“-assisted reconfigurable broadband Y-junction,”
Opt. Express, 30
(22), 40379
–40388 https://doi.org/10.1364/OE.473157 OPEXFF 1094-4087
(2022).
Google Scholar
J. Zheng et al.,
“Nonvolatile electrically reconfigurable integrated photonic switch enabled by a silicon PIN diode heater,”
Adv. Mater., 32
(31), 2001218 https://doi.org/10.1002/adma.202001218 ADVMEW 0935-9648
(2020).
Google Scholar
C. Gao et al.,
“Structural optimization of integrated non-volatile photonic memory towards high storage density and low energy consumption,”
Opt. Mater. Express, 12
(7), 2668
–2678 https://doi.org/10.1364/OME.463211
(2022).
Google Scholar
C. Ríos et al.,
“Integrated all-photonic non-volatile multi-level memory,”
Nat. Photonics, 9
(11), 725
–732 https://doi.org/10.1038/nphoton.2015.182 NPAHBY 1749-4885
(2015).
Google Scholar
M. Wei et al.,
“Electrically programmable phase-change photonic memory for optical neural networks with nanoseconds in situ training capability,”
Adv. Photonics, 5
(4), 046004 https://doi.org/10.1117/1.AP.5.4.046004 AOPAC7 1943-8206
(2023).
Google Scholar
X. Li et al.,
“On-chip phase change optical matrix multiplication core,”
in IEEE Int. Electron Devices Meet. (IEDM),
(2020). https://doi.org/10.1109/IEDM13553.2020.9372052 Google Scholar
P. Xu et al.,
“Low-loss and broadband nonvolatile phase-change directional coupler switches,”
ACS Photonics, 6
(2), 553
–557 https://doi.org/10.1021/acsphotonics.8b01628
(2019).
Google Scholar
C. Wu et al.,
“Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network,”
Nat. Commun., 12
(1), 96 https://doi.org/10.1038/s41467-020-20365-z NCAOBW 2041-1723
(2021).
Google Scholar
J. Zheng et al.,
“Modeling electrical switching of nonvolatile phase-change integrated nanophotonic structures with graphene heaters,”
ACS Appl. Mater. Interfaces, 12
(19), 21827
–21836 https://doi.org/10.1021/acsami.0c02333 AAMICK 1944-8244
(2020).
Google Scholar
C. Ríos et al.,
“Multi‐level electro‐thermal switching of optical phase‐change materials using graphene,”
Adv. Photonics Res., 2
(1), 2000034 https://doi.org/10.1002/adpr.202000034
(2020).
Google Scholar
Z. Fang et al.,
“Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heaters,”
Nat. Nanotechnol., 17
(8), 842
–848 https://doi.org/10.1038/s41565-022-01153-w NNAABX 1748-3387
(2022).
Google Scholar
J. Faneca et al.,
“Graphene microheater for phase change chalcogenides based integrated photonic components [Invited],”
Opt. Mater. Express, 12
(5), 1991
–2002 https://doi.org/10.1364/OME.452153
(2022).
Google Scholar
M. G. Herrmann et al.,
“Lattice dynamics of from inelastic neutron and x‐ray scattering,”
Phys. Status Solidi-b, 257
(6), 2000063 https://doi.org/10.1002/pssb.202000063
(2020).
Google Scholar
K. Aryana et al.,
“Suppressed electronic contribution in thermal conductivity of ,”
Nat. Commun., 12
(1), 7187 https://doi.org/10.1038/s41467-021-27121-x NCAOBW 2041-1723
(2021).
Google Scholar
M. Delaney et al.,
“A new family of ultralow loss reversible phase-change materials for photonic integrated circuits: and ,”
Adv. Funct. Mater., 30
(36), 2002447 https://doi.org/10.1002/adfm.202002447 AFMDC6 1616-301X
(2020).
Google Scholar
X. Yang et al.,
“Non‐volatile optical switch element enabled by low‐loss phase change material,”
Adv. Funct. Mater., 33
(42), 2304601 https://doi.org/10.1002/adfm.202304601 AFMDC6 1616-301X
(2023).
Google Scholar
J. Meng et al.,
“Electrical programmable multilevel nonvolatile photonic random-access memory,”
Light: Sci. Appl., 12
(1), 189 https://doi.org/10.1038/s41377-023-01213-3
(2023).
Google Scholar
BiographyLinjie Zhou received his BS degree in microelectronics from Peking University, Beijing, China, in 2003 and his PhD in electronic and computer engineering from the Hong Kong University of Science and Technology, Hong Kong, in 2007. From 2007 to 2009, he was a postdoctoral researcher at the University of California, Davis, California, United States. In 2010, he joined the State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai, China. He is currently a distinguished professor. His research interests include optical devices and photonic integration. |