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Updates every hour. Last Updated: 9-Jun-2026 02:16 ET (9-Jun-2026 06:16 GMT/UTC)
SwRI harnesses AI to find meaningful matches in solar data
Southwest Research InstituteSAN ANTONIO — April 14, 2026 — New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find matching patches in real observations. This elevates generative artificial intelligence (AI) from a means to produce artificial data to a novel tool for scientific data interrogation, supporting applicability beyond the heliophysics domain.
- Journal
- The Astrophysical Journal Supplement Series
Bridges, roadways threatened by changes in weather patterns
University of British Columbia Okanagan campusThe combination of extreme weather conditions, like atmospheric rivers, and aging infrastructure is putting increasing pressures on Canadian highways, bridges and tunnels—many of which are almost 100 years old.
UBC Okanagan researchers caution that these systems are facing hazards they weren’t considered in their original design, and this increases their vulnerability to failure. This growing strain is putting significant pressure on local governments, which must secure funding to upgrade and maintain these critical transportation networks, says UBC Okanagan School of Engineering postdoctoral researcher Dr. Alaa Al Hawarneh.
- Journal
- Automation in Construction
UH engineers offer roadmap to close the “human error” gap in offshore crane safety
University of Houston- Journal
- IISE Transactions on Occupational Ergonomics and Human Factors
Dynamic modeling of a net-membrane capture system with combined deformation for space debris removal
Beijing Institute of Technology Press Co., LtdThe rapid increase in space debris poses a significant threat to the safety of in-orbit spacecraft and the utilization of valuable orbital resources. Active debris removal (ADR) has emerged as the most effective approach to mitigating debris growth. However, traditional rigid capture methods are limited by constraints such as capture distance, target adaptability, and the risk of generating secondary debris, making them inadequate for the increasingly complex space debris environment. Net-membrane capture systems integrate smart materials with controllable deployment mechanisms, offering advantages such as long-range capture, adaptability to non-cooperative targets, and reusability. However, the dynamic characteristics throughout the entire process—shooting, deployment, contact, and wrapping capture—remain insufficiently understood. The combined stretching, shearing, and bending deformations of the membrane, along with the complex contact mechanics introduced by debris spin, pose challenges for traditional modeling approaches such as the finite element method (FEM) and the absolute nodal coordinate formulation (ANCF).
In a recent study published in Space: Science & Technology, a research team from the Chinese Academy of Sciences and the University of Electronic Science and Technology of China proposed a dynamic modeling and simulation method for a net-membrane capture system that accounts for combined deformations. The study develops a dynamic model of the membrane using the multiparticle method (MPM), incorporating stretching, shearing, and bending stiffness to accurately describe combined deformations. A contact model based on continuous contact theory and Coulomb’s law is also established to simulate the interaction between the membrane and debris. Through multiple sets of numerical simulations, the study systematically analyzes the effects of shooting velocity, ejection angle, and bullet mass on membrane deployment behavior, leading to the identification of optimal shooting parameters. Simulation results demonstrate that the proposed model can effectively simulate the capture of both stationary and spinning debris with spherical or polyhedral shapes. During the capture of spinning debris, the tangential friction between the membrane and debris significantly reduces the debris’s spin rate, demonstrating excellent despinning capability. This research provides a theoretical foundation for parameter optimization and engineering design of net-membrane capture systems, contributing to the advancement of reusable and highly adaptable active debris removal technologies.
- Journal
- Space Science & Technology
Korea University College of Medicine research team demonstrates potential of AI for early detection of self-harm behavior
Korea University College of Medicine- Journal
- Scientific Reports
New spotlight for electrolyte design: Anion chemistry
Science China PressTraditional electrolyte research has long centered on the solvation behavior of lithium-ions (cation), focusing on improving lithium ion transport dynamics by optimizing solvent or salt concentrations. As batteries evolve toward higher energy density, wider operation temperature ranges, and extended cycle lifespan, this “cation-centered” solvation approach has encountered limitations: unstable electrode/electrolyte interfaces, poor lithium-ion transport dynamics, and inadequate adaptation across broad temperature ranges. Unlike cations acting as passive charge carriers, anions become active regulators of electrolyte performance by modulating solvation structures, governing interfacial reactions, and optimizing transport mechanisms. Anion chemistry unlocks this active regulatory capability, offering more fundamental and comprehensive solutions for high-energy-density batteries electrolyte design.
- Journal
- Science China Chemistry
The era of psychopolitics: Towards a new form of power based on mind control
Universitat Oberta de Catalunya (UOC)A medical, humanitarian, transhumanist and politically neutral project. This is how Neuralink has described itself since it was first founded in 2016. Over the last decade, however, the company created by Elon Musk to develop implants for human-brain-computer communication has revealed itself to be much more than that. A study by the Universitat Oberta de Catalunya (UOC) and the Universitat Autònoma de Barcelona (UAB), and published in Culture, Theory and Critique explores how this neural technology paves the way for a new form of power: psychopolitics.
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- Culture Theory and Critique