Scientists put teeth into water-driven gears
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 07:15 ET (2-Apr-2026 11:15 GMT/UTC)
A team of New York University scientists has created a gear mechanism that relies on fluids to generate rotation. The invention holds potential for a new generation of mechanical devices that offer greater flexibility and durability than do existing gears—whose origins date back to ancient China.
Owing to the chaotic and non-integrable nature of three-body dynamics, the conventional Keplerian elements are rendered inadequate for cataloging cislunar space objects. Currently, there has been a conspicuous absence of universally recognized parameters for the characterization and cataloging of such objects, posing a significant impediment to effective cislunar space situational awareness. This research published in the Chinese Journal of Aeronautics proposes a novel approach to parameterize the orbits of the Earth-Moon collinear libration points by leveraging the theoretical frameworks of canonical transformations. Six characteristic parameters are established, which maintain a bijective correspondence with the state variables. Specifically, two parameters define the motion of the invariant manifold, while the remaining four parameters characterize the dynamics of the central manifold. Based on the parameters of central manifold, a situation map for depicting the distribution of libration point objects was developed, and its application in orbit identification was explored. This method furnishes novel instrumentation for enhanced space situational awareness and target cataloguing within the cislunar domain, enabling operators to effectively tag, track and manage cislunar objects with a compact, uncertainty-quantified parameter set.
A study from Shandong Technology and Business University uses game theory to explore rural distributed photovoltaic (PV) development from a prosumer lens. It identifies village-PV enterprise collaboration as key to scaling adoption, highlights the need to balance self-consumption and grid capacity to avoid curtailment, and provides targeted policy guidance for rural energy transitions.
A research team from the Beijing Institute of Technology (BIT) and Yinhe Hangtian has achieved a major advance in orbit mechanics by developing an analytical method capable of directly predicting spacecraft trajectories under third-body gravitational perturbations. This work, recently published in the Chinese Journal of Aeronautics, resolves a long-standing challenge in celestial dynamics and provides a new theoretical tool for deep-space exploration and autonomous spacecraft control.
The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace operations. In a recent innovative study published in the Chinese Journal of Aeronautics, a double swept waverider employing novel vortex-wave coupling technology has addressed the fundamental compromise between high-speed shockwave management and low-speed vortex lift utilization. By integrating basic flow field design with an Improved Multi-Objective Cuckoo Search algorithm, this configuration achieves breakthrough wide-speed-range performance, laying a critical foundation for the development of horizontal take-off and landing aerospace vehicles.
The notion of employing detonation to enhance aerospace propulsion systems has been explored for several decades. In a recent breakthrough, a novel detonation engine known as the Ram-Rotor Detonation Engine has emerged. This innovative engine integrates the processes of propellant compression, detonation combustion, and expansion within a single rotor, enabling it to markedly enhance propulsion efficiency across a broad range of flight Mach numbers.
A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree searches. A new Dynamic Partition Weight approach, published in the Chinese Journal of Aeronautics (https://doi.org/10.1016/j.cja.2025.103921), solves this by predicting each cell’s required k‑d tree iterations and performing intelligent load rebalancing. This method enables the generation of billion‑cell grids for complex aircraft models in less than a minute, offering a breakthrough for high‑fidelity CFD simulations.