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Silicon photonics is a promising technology for high-performance inter/intra-chip networks. Although chiplet technologies help to integrate photonic network with processors and memories, thermal reliability remains a major challenge for photonic networks. Thermal variations are common in chiplet-based systems. Due to thermo-optic effects, photonic switches, such as microresonators (MRs), suffer from temperature-dependent wavelength shifts. To improve the thermal reliability of photonic chiplets, we propose an effective bridging and tuning method, called BAT. Our method enhances the temperature channel transition among MRs and minimize bit errors during temperature changes. BAT is integrated with thermal tuning, electrical tuning, laser tuning, and receiver tuning. We optimize MR design, control logic, tuning circuit, thermal floorplan, and network protection mechanism for BAT. Compared to state-of-the-art methods, BAT achieves a 1 0 − 12 bit-error-rate for photonic chiplets, saves up to 70.0% of the thermal tuning power, and improves up to a 1.17X system energy efficiency. • A joint tuning method BAT is proposed to achieve thermal reliable photonic chiplets. • A new optical bridging method is presented to avoid the data transmission errors. • Cross-layer design of BAT involves control logic, thermal placement and network agent. • BAT has better performance regarding control stability, BER, and system performance. [ABSTRACT FROM AUTHOR]

Silicon photonics is the leading candidate technology for high-speed and low-energy-consumption networks. Thermal and process variations are the two main challenges of achieving high-reliability photonic networks. Thermal variation is due to the heat issues created by application, floorplan, and environment, while process variation is caused by fabrication variability in the deposition, masking, exposition, etching, and doping. Tuning techniques are then required to overcome the impact of the variations and efficiently stabilize the performance of silicon photonic networks. We extend our previous optical switch integration model, BOSIM, to support the variation and thermal analyses. Based on device properties, we propose indirect feedback tuning (IFT) to simultaneously alleviate thermal and process variations. IFT can improve the BER of silicon photonic networks to 10−9 under different variation situations. Compared to state-of-the-art techniques, IFT can achieve an up to 1.52 × 108 times bit-error-rate improvement and 4.11X better heater energy efficiency. Indirect feedback does not require high-speed optical signal detection, and thus, the circuit design of IFT saves up to 61.4% of the power and 51.2% of the area compared to state-of-the-art designs. [ABSTRACT FROM AUTHOR]

Silicon photonic networks are revolutionizing computing systems by improving the energy efficiency, bandwidth, and latency of data movements. Optical modulators, such as microresonators (MRs) and Mach–Zehnder interferometers (MZIs), are the basic building blocks of silicon photonic networks. This paper proposes a SPICE-compatible electro-optical co-simulation model, basic optical switch integration model (BOSIM), to systematically study optical modulators using PN, PIN, and metal–insulator–silicon (MIS) capacitor device technologies. BOSIM holistically models both transient and steady state properties, such as switching speed, power, transmission spectrum, area, and carrier distribution. BOSIM is validated by the measured data from eight research groups and companies. Compared to MRs, BOSIM shows MZIs are fast, with a high extinction ratio and large bandwidth but in the sacrifice of loss, energy, and area. Using a PIN diode over a PN diode can save area, but retain the loss and energy, while an MIS capacitor has the shock response of carrier distribution in a narrow range and is marginalized gradually. For instance, an MZI can achieve a $2.5 {\times }$ bit rate, $6.06{\times }$ extinction ratio, $71.04 {\times }\,\,3$ -dB bandwidth, but costs at least $1.93 {\times }$ passing loss, $1.46 {\times }$ energy consumption, and $16.67 {\times }$ area, compared with MR. [ABSTRACT FROM AUTHOR]

[Display omitted] The electrochemical carbon dioxide (CO 2) reduction reaction (CO 2 RR) used for converting higher-value chemicals is a promising solution to mitigate CO 2 emissions. Nickel (Ni)-based catalysts have been identified as a potential candidate for CO 2 activation and conversion. However, in the CO 2 RR, the size effect of the Ni-based electrocatalysts has not been well explored. Herein, the single Ni atom and the Ni 4 cluster doped nitrogen-doped carbon nanotube (Ni@CNT and Ni 4 @CNT), and the Ni (1 1 0) facet were designed to explore the size effect in the CO 2 RR by using density functional theory (DFT) calculations. The results show that carbon monoxide (CO) is produced on the Ni@CNT with a free energy barrier of 0.51 eV. The reduction product of CO 2 on the Ni 4 @CNT and Ni(1 1 0) facet is methane (CH 4) in both cases, via different reaction pathways, and the Ni(1 1 0) facet is a more efficient electrocatalyst with a low overpotential of 0.27 V when compared to Ni 4 @CNT (0.50 V). The rate-determining step (RDS) is the formation of *CHO on the Ni 4 @CNT (The "*" represents the catalytic surface), while the *COH formation is the RDS on the Ni(1 1 0) facet. Meanwhile, the Ni(1 1 0) facet also has the highest selectivity of CH 4 among the three catalysts. The CO 2 reduction product changes from CO to CH 4 with the increasing size of the Ni-based catalysts. These results demonstrate that the catalytic activity and selectivity of CO 2 RR highly depend on the size of the Ni-based catalysts. [ABSTRACT FROM AUTHOR]

Low‐melting point metals and alloys, as emerging 3D printing ink, have attracted more and more attention especially for flexible or intelligent conductors and electronics. However, achieving 3D continuity of liquid metal structures or patterns using a common method is still challenging and worth pursuing. In this study, a generalized method is proposed for 3D printing structures made of low melting gallium‐based alloys with diverse melting points, which should greatly expand their applications. The mechanism for shaping liquid metal inks relies on the combination actions between electrocapillarity and oxidation, which significantly reduces the high surface tension as well provides solid frame for the inner liquid metals. Taken galinstan as an example, the printing conditions, including the viscosity of hydrogel, positive voltage (0–15 V), calcium chloride concentration, and velocity (the movement speed of the printing head) are explored to optimize the process. The printed galinstan is characterized to observe the morphology and elemental analysis of the surface oxide layer. During the process, the chemical reagents are all safe and non‐toxic, which is in line with the green product requirements. This printing method shall have broad application prospect in flexible electronics, biosensors, biomedical engineering, contrast agent in vivo, and other fields. [ABSTRACT FROM AUTHOR]

With the increasing popularity of data-intensive applications in data centers, the switching fabric in the internode network becomes significant. Silicon-photonic switching fabrics have a bright future in data centers, which offer high bandwidth, high energy efficiency, and low latency. However, integrating a high radix multistage switching fabric in a single chip faces challenges. A large number of waveguide crossings on the silicon photonic die causes massive power loss and introduces a tremendous amount of crosstalk noise. In this article, we propose a chip partition optimization platform (POP), which can decrease the number of waveguide crossings and shorten the on-chip traversal distance of optical signals. Our algorithms can effectively reduce the power loss and crosstalk noise in silicon-photonic multistage switching fabrics, and help to improve the signal integrity. For example, compared with the common design, POP can achieve 33-dB improvement on average power loss, 42-dB improvement on the worst-case power loss, and 39-dB improvement on the worst-case signal to noise ratio, in a $1024\times1024$ butterfly based silicon-photonic switching fabric. [ABSTRACT FROM AUTHOR]

While many new applications prefer manycore processor with a large number of cores, the exploding communications among multiple cores, caches, and off-chip memories is posing a fundamental challenge on manycore designs. Silicon photonics-based interconnection network promises high bandwidth, low latency, and high energy efficiency, and can potentially meet the communication requirements of manycore processors. In this paper, we propose CAMON, a small low-cost silicon photonic chiplet integrated into the manycore processor package. CAMON chiplet can effectively alleviate the communication bottlenecks of manycore processors and improve the energy efficiency of data movement, especially for large-scale systems. We develop a distributed arbitration system, a low-power low-latency optical interface, and an off-chip laser preactivation mechanism for CAMON. The experimental results show that compared with the electrical network, CAMON can improve the full-system performance per energy by $4.6\times $ , speedup the manycore processor by $2.7\times $ , and save the area of the processor die by 3%, in a 512-core system. [ABSTRACT FROM AUTHOR]

Medium-chain length methyl ketones are potential blending fuels due to their cetane numbers and low melting temperatures. Biomanufacturing offers the potential to produce these molecules from renewable resources such as lignocellulosic biomass. In this work, we designed and tested metabolic pathways in Escherichia coli to specifically produce 2-heptanone, 2-nonanone and 2-undecanone. We achieved substantial production of each ketone by introducing chain-length specific acyl-ACP thioesterases, blocking the β-oxidation cycle at an advantageous reaction, and introducing active β-ketoacyl-CoA thioesterases. Using a bioprospecting approach, we identified fifteen homologs of E. coli β-ketoacyl-CoA thioesterase (FadM) and evaluated the in vivo activity of each against various chain length substrates. The FadM variant from Providencia sneebia produced the most 2-heptanone, 2-nonanone, and 2-undecanone, suggesting it has the highest activity on the corresponding β-ketoacyl-CoA substrates. We tested enzyme variants, including acyl-CoA oxidases, thiolases, and bi-functional 3-hydroxyacyl-CoA dehydratases to maximize conversion of fatty acids to β-keto acyl-CoAs for 2-heptanone, 2-nonanone, and 2-undecanone production. In order to address the issue of product loss during fermentation, we applied a 20% (v/v) dodecane layer in the bioreactor and built an external water cooling condenser connecting to the bioreactor heat-transferring condenser coupling to the condenser. Using these modifications, we were able to generate up to 4.4 g/L total medium-chain length methyl ketones. Image 1 • β-oxidation and thiolase-mediated routes used to produce medium-chain methyl ketones. • Bio-prospecting identified FadM homolog from Providencia sneebia with higher activity. • We report production of highest medium-chain MKs titers, 4.4 g/L. [ABSTRACT FROM AUTHOR]

The advancement of silicon photonics promises integrated optical switches to provide high-bandwidth, low-latency, and low-power communications in data centers. An optical switch’s loss limits its scale and affects the energy efficiency of the switch system. In this paper, we present cross-layer optical switch optimization (CLOSO), a cross-layer optimization (CLO) framework, based on not only photonic device models at the physical layer but also optical switch models at the fabric layer. With the proposed framework, optimal losses of optical switches can be evaluated efficiently, and the corresponding losses and design parameters of photonic devices can be obtained. Using CLOSO, we optimize four categories of integrated optical switches, Crossbar, PILOSS, DRAGON, and FODON, and compare them regarding their optimal worst-case loss with variation of the switch scale and data rate of signals. Furthermore, system-level evaluations of the optimized optical switches are performed, demonstrating a significant improvement of energy efficiency from the CLO. For instance, CLOSO helps to reduce the energy consumption of a 64-port DRAGON and FODON to as low as 6 pJ/bit and that of a 128-port DRAGON and FODON to as low as 10 pJ/bit. The investigation of 128-port switches also shows the necessity of adaptive power control on lasers for high-radix integrated optical switches. Through quantitative analyses and comparisons, CLOSO shows the capability of facilitating initial design exploration of optical switches and paves the way to fair evaluations and comparisons of switch systems in data centers. [ABSTRACT FROM AUTHOR]

Rack-scale computing systems are promising to undertake the emerging large-scale applications by distributing massive tasks to processing cores. The communication and coordination efficiency of these tasks and resources directly affect the system performance and energy consumption. Silicon photonic interconnects are expected to address the communication and system power consumption challenges imposed on rack-scale systems. However, the control for optical interconnects can cause server performance degradation if not properly designed, especially for the complicated and time-consuming multidomain networks. In this paper, we study the optical interconnects for rack-scale computing systems and propose a new communication flow and control scheme for the efficient coordination of distributed resources. Particularly, we first propose a forward propagation strategy that parallels the path reservation process with the distributed tasks connection setup. Second, we develop a pre-emptive chain feedback (PCF) scheme to optimize multidomain path reservation. The PCF scheme pre-emptively allocates network resources with the help of multicell reservation window and quickly releases resources with a feedback mechanism. This solution increases the network resources utilization and task coordination efficiency while minimizing path reservation overheads. Comparing to the baseline InfiniBand network fabric and handshake scheme, PCF can improve network throughput greatly under uniform and hotspot traffic patterns. Realistic benchmark results show that the PCF scheme on average reduces 52% and 60% energy consumption per unit system performance than InfiniBand and the handshake scheme for a 256-node rack system. [ABSTRACT FROM AUTHOR]

In recent years, optical interconnection networks have been proposed in order to achieve the ultrahigh bandwidth and low latency requirements for inter/intra-chip communication. In these optical interconection networks, series of basic optical elements are employed. Via these series of optical elements, the intrinsic crosstalk noise is generated. With a large scale of these optical elements, the signal-to-noise ratio (SNR) of an optical interconnect can be reduced by this crosstalk noise. In this paper, we utilize the adaptive power control (APC) to enhance the SNR under the crosstalk noise constraints. APC has been known to save energy and reduce power consumption. We apply this technique in one of the inter/intra-chip optical interconnect called I2CON. A new cluster design, namely the Beam cluster, is also introduced. Results have demonstrated that the APC can help to reduce crosstalk noise, hence, the overall SNR is improved. Comparison results have also indicated the further improvement of SNR in I2CON using Beam cluster when APC is applied. [ABSTRACT FROM AUTHOR]

Using an inner-frequency-modulated semiconductor laser, two parallel Mach–Zehnder delay-line interferometers and feedback control loop technique, we generate microwaves. The frequency of the Littrow-structure semiconductor laser is modified by a lead zirconate titanate actuator that covers a wideband modulating range. One long delay-line interferometer generates microwaves; the second short delay-line interferometer controls the linearity of the modulate laser and assures microwave stability by a feedback loop. Thus, this method, in theory, should produce more than one hundred GHz microwave. We experimentally generated 1.743 GHz to 5.134 GHz microwaves. This technology opens a new path for developments in microwave photonics. [ABSTRACT FROM AUTHOR]

In this paper, some morphological transformations are used to detect the unevenly illuminated background of text images characterized by poor lighting, and to acquire illumination normalized result. Based on morphologic Top-Hat transform, the uneven illumination normalization algorithm has been carried out, and typically verified by three procedures. The first procedure employs the information from opening based Top-Hat operator, which is a classical method. In order to optimize and perfect the classical Top-Hat transform, the second procedure, featuring the definition of multi direction illumination notion, utilizes opening by reconstruction and closing by reconstruction based on multi direction structuring elements. Finally, multi direction images are merged to the final even illumination image. The performance of the proposed algorithm is illustrated and verified through the processing of different ideal synthetic and camera collected images, with backgrounds characterized by poor lighting conditions. [ABSTRACT FROM AUTHOR]