Publications by authors named "Aolong Sun"
The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support the growing demands for computational power. Cloud computing has become the driving force behind this transformation. However, it consumes significant power and faces computation security risks due to the reliance on extensive data centers and servers in the cloud.
View Article and Find Full Text PDFThe escalating demands of compute-intensive applications urgently necessitate the adoption of optical interconnect technologies to overcome bottlenecks in scaling computing systems. This requires fully exploiting the inherent parallelism of light across scalable dimensions for data loading. Here we experimentally demonstrate a synergy of wavelength- and mode- multiplexing combined with high-order modulation formats to achieve multi-tens-of-terabits-per-second optical interconnects using foundry-compatible silicon photonic circuits.
View Article and Find Full Text PDFThe escalating surge in datacenter traffic creates a pressing demand for augmenting the capacity of cost-effective intensity modulation and direct detection (IM/DD) systems. In this Letter, we report the demonstration of the single-lane 128-GBaud probabilistically shaped (PS)-PAM-20 IM/DD transmission using only a single digital-to-analog converter (DAC) for a net 400 G/λ system. Based on the advanced digital signal processing (DSP), we achieve net bitrates of up to 437 Gb/s for optical back-to-back and 432 Gb/s after the 0.
View Article and Find Full Text PDFArticle Synopsis
- The study focuses on using inverse design techniques to create ultra-compact dual-band wavelength demultiplexing power splitters (WDPSs), which can split optical signals and are suited for dual-band passive optical networks (PONs).
- By employing a novel two-step direct binary search method, the researchers achieved a significant reduction in device footprint (12.77 times smaller) and improved performance compared to traditional design methods.
- The optimized WDPS design, featuring a minimum size of 65 nm, achieved low insertion losses and high crosstalk values, and for the first time, the impact of hyperparameters on optimization-based inverse design has been systematically analyzed, highlighting their importance for future designs
Article Synopsis
- - The study focuses on RING zinc finger (RING-zf) proteins in wheat, highlighting their roles in developmental stages and stress responses, while classifying them into various types based on specific structural elements.
- - A significant majority (93.5%) of the identified 138 RING-zf proteins were found in the nucleus, suggesting their involvement in degrading transcription factors and other nuclear proteins; the newly identified RING-M type may represent an intermediary state.
- - Analysis revealed that several RING-zf proteins were actively expressed across various plant growth stages and some responded specifically to drought and heat stress, offering insights for further research on their physiological functions in wheat.
The CCHC-type zinc finger proteins (CCHC-ZFPs) play versatile roles in plant growth, development and adaptation to the environment. However, little is known about functions of gene family memebers in . In the present study, we identified a total of 50 genes from the 21 wheat chromosomes, which were phylogenetically classified into eight groups based on their specific motifs and gene structures.
View Article and Find Full Text PDFBackground: The CH-type zinc finger proteins (CH-ZFPs) are one of major classes of transcription factors that play important roles in plant growth, development and stress responses. Limit information about the CH-ZF genes hinders the molecular breeding in bread wheat (Triticum aestivum).
Results: In this study, 457 CH-ZFP proteins (including 253 splice variants), which contain four types of conserved domain (named Q, M, Z, and D), could be further classified into ten subsets.