Turning the tide: Magnetic coupling enables safer, smarter powering of ocean robots
Peer-Reviewed Publication
Welcome to theTsinghua University Press (TUP) News Page.
Below are the latest research news from TUP.
Updates every hour. Last Updated: 27-Jan-2026 20:11 ET (28-Jan-2026 01:11 GMT/UTC)
Underwater wireless power transfer is emerging as a key technology for enabling long-duration, maintenance-free operation of autonomous underwater vehicles (AUVs). This review provides the most comprehensive overview to date of magnetic-coupling-based underwater wireless charging, addressing challenges such as eddy current losses in seawater, misalignment caused by ocean dynamics, and the growing need for simultaneous transfer of power and data. By comparing transmitter–receiver coil structures, compensation networks, and control strategies, the research identifies design pathways that significantly enhance efficiency, stability, and tolerance to dynamic marine conditions. The work also highlights emerging simultaneous wireless power and data transfer (SWPDT) methods that could reshape the future of marine sensing and robotic operations.
Hair loss and graying, the earliest visible hallmarks of skin aging, result from the functional decline of hair follicle stem cells (HFSCs) and their niche. Dr. Zhao and colleagues conducted a comprehensive analysis of human scalp samples using single-cell RNA sequencing (11 samples, 57,181 cells in total) and spatial transcriptomics (1 sample) to detail the mechanisms involved. The study confirmed the transitional stages of three mitotic keratinocyte subtypes. Comparison of middle-aged and young scalps revealed three key age-associated changes: activated AP-1 transcription factor complex in keratinocytes; up-regulated DCT gene in melanocytes; and a dramatic decrease in BMP and non-canonical WNT (ncWNT) signaling within the critical dermal papilla-keratinocyte crosstalk. This breakdown of essential inter-cellular communication and activation of stress signals provides valuable, cell-resolved insights into hair follicle aging, supporting the development of future regenerative therapies targeting these pathways.
Large-scale Low Earth Orbit (LEO) constellations have become a focal point for providing round-the-clock high-fidelity information services. However, their efficient and economical batch deployment faces severe challenges from growing demands and multiple constraints, with existing methods struggling to address the computational complexity in large-scale scenarios. To meet this pressing need, this study published in the Chinese Journal of Aeronautics proposes an innovative deployment optimization framework. At its core, it constructs a novel partial time-expanded network and employs an efficient hybrid algorithm to significantly reduce constraint explosion, enhancing solution efficiency and scalability. The framework supports dual-channel, multi-configuration rocket strategies and flexible deployment under multiple mission triggers through weighted optimization. Ultimately, it effectively reduces deployment costs, improves optimization efficiency, and provides reliable decision support for large-scale constellation deployment.
Heterogeneous interface engineering is key to tailoring intrinsic electromagnetic wave (EMW) attenuation. However, fully harnessing the functional benefits of these interfaces requires precise control of their architecture—a major challenge in hierarchical heterostructure design.
Price stabilization mechanisms (PSMs), one of a set of key policy elements aiming at supporting increasing and stable carbon prices, may affect the performance of emissions trading systems (ETS) in terms of green innovation. By using the case of China’s regional carbon market pilots and data of listed firms, the research team found that pilots adopting both price-based and quantity-based PSMs significantly induced green innovation activities in covered firms, while a single type does not guarantee the effect. PSMs help to do so by lifting carbon prices and reducing firms’ perceived uncertainties. The above effects would be enhanced in firms with lower asset reversibility, lower ability of cost passthrough, higher ability of innovation, and state-owned enterprises.
A comprehensive review published in Food & Medicine Homology highlights the transformative potential of time-resolved fluoroimmunoassay (TRFIA) as a fast, sensitive, and practical method for detecting pesticide residues in foods.
To overcome the challenge of insufficient loss strength in single-phase high-entropy ferrites, this work develops a novel defect-engineering-driven dual-phase strategy to fabricate spinel/rock-salt structured (Fe₀.₅Mg₀.₅CoNiCuMn)₃O₄@CuO composite ceramics. Combined experimental characterization and first-principles calculations demonstrate a strong positive correlation between defect concentration and microwave absorption performance. The optimized material achieves outstanding electromagnetic absorption with a minimum reflection loss of -48 dB and an effective absorption bandwidth of 3.9 GHz in the X-band. Remarkably, this work obtains 70% bandwidth retention after 1200 °C oxidation and a thermal conductivity of 2.154 W·m⁻¹·K⁻¹, demonstrating exceptional high-temperature stability and thermal management capability. This study pioneers a new pathway for the development of oxidation resistance and electromagnetic protection materials through defect-engineering-driven synergistic modulation.
A four-channel chemiresistive gas-sensor array built from CuO/Bi2O2CO3 p-n heterostructured micro-flowers can selectively detect three odor-active VOCs, nonanal, benzaldehyde, and 1-octen-3-ol, at room temperature. By combining the array readout with multivariate analysis, the system distinguishes cooked rice prepared from grains stored for different durations, offering a low-power route toward real-time food-quality monitoring.
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of Aeronautics, a novel intelligent decision-making framework that addresses incomplete interference information has emerged. This innovative framework integrates fuzzy logic for uncertainty modeling, dynamic constrained multi-objective optimization, and transfer learning, enabling UAV swarms to achieve autonomous and efficient spectrum allocation under rapidly changing conditions while maintaining both communication performance and security.
Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and generative shape priors to significantly improve the accuracy and stability of road element perception in autonomous driving systems. The research addresses a long-standing challenge: existing end-to-end perception models often generate irregular shapes, fragmented boundaries, and incomplete road elements in complex urban scenarios.