A team of Chinese researchers has developed an AI-based modeling approach that revolutionizes the prediction of complex nonlinear dynamics in Kerr resonators. By leveraging recurrent neural networks (RNNs)—specifically gated recurrent units (GRUs)—and a hybrid convolutional neural network (CNN)-GRU model for complex scenarios, the team achieved nearly 20x faster simulations than traditional methods, while maintaining high accuracy. The work paves the way for faster design of next-generation optical systems, from optical memories to all-optical computers.

Pressure sensors are essential for a wide range of applications, including health monitoring, industrial diagnostics, etc. However, achieving both high sensitivity and mechanical ability to withstand high pressure in a single material remains a significant challenge. This study introduces a high-performance cellulose hydrogel inspired by the biomimetic layered porous structure of human skin. The hydrogel features a novel design composed of a soft layer with large macropores and a hard layer with small micropores, each of which contribute uniquely to its pressure-sensing capabilities. The macropores in the soft part facilitate significant deformation and charge accumulation, providing exceptional sensitivity to low pressures. In contrast, the microporous structure in the hard part enhances pressure range, ensuring support under high pressures and preventing structural failure. The performance of hydrogel is further optimized through ion introduction, which improves its conductivity, and as well the sensitivity. The sensor demonstrated a high sensitivity of 1622 kPa⁻¹, a detection range up to 160 kPa, excellent conductivity of 4.01 S m⁻¹, rapid response time of 33 ms, and a low detection limit of 1.6 Pa, outperforming most existing cellulose-based sensors. This innovative hierarchically porous architecture not only enhances the pressure-sensing performance but also offers a simple and effective approach for utilizing natural polymers in sensing technologies. The cellulose hydrogel demonstrates significant potential in both health monitoring and industrial applications, providing a sensitive, durable, and versatile solution for pressure sensing.

Sequential processing (SqP) of the active layer offers independent optimization of the donor and acceptor with more targeted solvent design, which is considered the most promising strategy for achieving efficient organic solar cells (OSCs). In the SqP method, the favorable interpenetrating network seriously depends on the fine control of the bottom layer swelling. However, the choice of solvent(s) for both the donor and acceptor have been mostly based on a trial-and-error manner. A single solvent often cannot achieve sufficient yet not excessive swelling, which has long been a difficulty in the high efficient SqP OSCs. Herein, two new isomeric molecules are introduced to fine-tune the nucleation and crystallization dynamics that allows judicious control over the swelling of the bottom layer. The strong non-covalent interaction between the isomeric molecule and active materials provides an excellent driving force for optimize the swelling-process. Among them, the molecule with high dipole moment promotes earlier nucleation of the PM6 and provides extended time for crystallization during SqP, improving bulk morphology and vertical phase segregation. As a result, champion efficiencies of 17.38% and 20.00% (certified 19.70%) are achieved based on PM6/PYF-T-o (all-polymer) and PM6/BTP-eC9 devices casted by toluene solvent.

A new study published in Engineering reveals that NSUN2, a key protein involved in RNA modification, significantly contributes to cardiac hypertrophy and heart failure by activating the LARP1–GATA4 axis. This research not only deepens our understanding of the molecular mechanisms underlying heart failure but also identifies NSUN2 as a potential therapeutic target for preventing and treating cardiac diseases.

Huawei’s new “Agentic-AI Core” lets 6G networks write their own control procedures: natural-language intents become executable missions, composed on the fly from verified, third-party building blocks and orchestrated by AI agents with no human coding required.

Discover how generative AI is transforming video communication in a groundbreaking new paradigm. Learn about the innovative techniques and future prospects of generative video communication, which promises more efficient, adaptable, and immersive video services. Explore the challenges and potential solutions in this emerging field.

A new study published in Engineering reveals that dihydrotanshinone I (DHT), a compound from Salvia miltiorrhiza, can induce autophagic cell death in ovarian cancer by targeting sortilin 1 (SORT1). This discovery offers a potential new therapeutic strategy for treating ovarian cancer through disrupting the autophagy–lysosome pathway.

A new study published in Engineering explores how coal power flexibility can support global decarbonization efforts. Researchers find that retrofitting coal plants for flexibility enhances renewable energy integration, reduces carbon emissions, and offers economic benefits. The study highlights the importance of policy support and technological innovation in transforming coal power to meet future energy needs sustainably.