Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents a comprehensive review of ML and deep learning algorithms applied to marine engineering, highlighting how they enhance structural design, construction efficiency, and real-time maintenance. The work introduces a novel modeling framework that integrates mechanical principles with data-driven algorithms, improving interpretability and prediction accuracy. It also outlines key challenges such as data scarcity, environmental uncertainty, and model transparency, offering guidance for future research. The review provides valuable insights for structural engineers seeking to adopt ML technologies for next-generation ocean infrastructure.

Researchers from Southeast University have developed a compact, dual-band, dual-polarized phased array for B5G/6G millimeter-wave communication. The array integrates four independent beamforming systems on a single printed circuit board, supporting concurrent operations at 28 GHz and 38 GHz. It features scalable architecture, broad bandwidth, and high spectral efficiency, making it ideal for future high-speed wireless applications.

Blue energy—renewable power derived from the kinetic and potential forces of water—has become a key pathway for building sustainable and low-carbon energy systems. This review synthesizes global progress in hydropower, ocean energy, and hybrid offshore technologies, highlighting rapidly advancing wave-energy devices and triboelectric nanogenerators (TENGs) for blue energy. While hydropower is technologically mature, ocean-based energy systems are expanding due to vast resource potential and accelerating technological innovation. The review identifies promising designs for efficient wave-energy harvesting alongside remaining engineering challenges related to durability, cost, and large-scale deployment. Together, these insights provide a roadmap for advancing water-derived renewable energy to support global decarbonization.

Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, microelectromechanical systems, and commercial off-the-shelf components. However, most traditional micro/nanosatellites have poor reliability and real-time performance. The implementation of a real-time operating system (RTOS) can effectively prevent system crashes due to untimely responses, thereby enhancing the real-time performance and reliability of the micro/nanosatellite attitude determination system. The Dalian-1 Lianli satellite, a 17-kg 12U high-resolution remote sensing CubeSat, was developed to validate a series of innovative technologies, including submeter high-resolution remote sensing imaging, the high-reliability OpenHarmony real-time operating system (RTOS), and the nontoxic hydroxylamine nitrate propulsion system. The satellite first uses the free, high-reliability OpenHarmony RTOS in the world. Launched on 2023 May 10, aboard the Tianzhou-VI cargo spacecraft, the satellite was successfully deployed into orbit on 2024 January 18, following 253 d of in-orbit storage at the China Space Station.

The positioning, navigation, and timing (PNT) information is fundamental to modern information systems. Over the years, people have invented many navigation systems to get PNT information, whereas each single navigation system has its flaws. As far as radio navigation is concerned, besides global navigation satellite systems (GNSS), exploiting non-navigation signals of opportunity for navigation under complex environments has attracted more and more interest in recent years. Satellite signals of opportunity positioning (SSOOP) attempts to work out a navigation solution with many non-GNSS satellite signals, such the many low-earth-orbit direct-to-cell and broadband satellite communications signals, when GNSS signals are not available. It is promising in addressing GNSS vulnerability by using an overwhelming quantity of satellites with diverse signal formats, multiple radio bands, and global availability. However, existing work on SSOOP is still quite preliminary. No work on identifying the passing satellite has been done when a receiver powers on without a rough guess on its location.

An Osaka Metropolitan University-led research team investigated Escherichia albertii, what is known about this bacterium, and directions of future research to fill the knowledge gap. 

The global transition to a hydrogen-based clean energy economy faces a critical bottleneck: current proton exchange membrane (PEM) fuel cells and water electrolyzers rely almost exclusively on scarce platinum group metals (PGMs) like platinum and iridium oxide. With platinum reserves accounting for only 5% of gold reserves worldwide, this dependency presents a major barrier to large-scale deployment. Nature, however, offers a compelling solution. Over billions of years, evolution has engineered highly efficient enzymes using only earth-abundant elements to manage energy metabolism. These biological catalysts achieve maximum metal atom utilization—where every atom participates in catalysis—unlike conventional nanoparticles where only surface atoms are active. They also demonstrate exceptional activity and operate in aqueous environments under mild conditions. Columbia University and Tsinghua University researchers argue that translating these enzyme design principles into synthetic electrocatalysts could revolutionize hydrogen energy technologies.

Utilizing waste cotton fabric as a dual-functional flexible substrate and carbon source, this work enabled vapor-liquid-solid growth of high-entropy carbide nanowires. The resulting material achieved exceptional EMI shielding through synergistic electrical conduction loss, dipolar polarization loss, and interfacial polarization loss.

UC Riverside scientists have created a small-scale system that transforms food waste into high-protein animal feed and fertilizer using black soldier flies, offering a sustainable solution to a major environmental problem.