Results 71 to 80 of about 114,227,017 (255)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Autonomous Folding of Soft Matter From Living Polymers
Origami structures are endowed with “living” polymer creases that grow, remodel, and stiffen in response to nutrient solutions. This post‐fabrication growth enables autonomous folding, iterative regrowth, and mechanical tuning involving origami assemblies, such as cranes, Miura‐ori tessellations, rigid and non‐rigid square‐twist patterns, establishing ...
Jiahe Huang +6 more
wiley +1 more source
Effects of Traffic Loads on Road Bridges - Preliminary Studies for the Re-Asessment of the Traffic Load Model for Eurocode 1, Part 3. [PDF]
2nd European Conference on Weigh-in-Motion of Road Vehicles, Lisbon, 14th - 16th September, 1998, European Commission, LuxembourgWIM has developed greatly in the last ten years and confidence in the accuracy of recorded data has increased significantly.
Jacob, Bernard +3 more
core +1 more source
Weight in Motion (WIM) merupakan salah satu solusi inovatif dalam manajemen lalu lintas yang memungkinkan kendaraan ditimbang pada saat dalam perjalanan.
Trisya Septiana, Zaini Zaini
doaj
New Bridge Weigh-in-Motion System Using Piezo-Bearing
The traditional BWIM (bridge weigh-in-motion) system measures the deformation of the bridge by means of sensors and uses these measurements to estimate the characteristics of passing traffic by means of dedicated algorithms.
Jinkyo F. Choo +4 more
doaj +1 more source
STRATEGIES FOR AXLE DETECTION IN BRIDGE WEIGH-IN-MOTION SYSTEMS [PDF]
To perform effectively, a Bridge Weigh-in-Motion (B-WIM) system requires accurate information on the location and speed of all axles on the bridge. In recent years, axle detection is by sensors under the bridge – so called Free-of-Axle-Detector or ...
OBRIEN, E.J. +4 more
core +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Applying Machine Learning to Preselective Weighing of Moving Vehicles
The paper presents the general characteristics of weighing systems for vehicles in motion. A number of problems and constraints that accompany these systems to ensure adequate accuracy in the operation of these systems are pointed out.
Paweł Kowaleczko +5 more
doaj +1 more source

