![]() ContextCapture Editor enables fast and easy manipulation of meshes of any scale as well as the generation of cross sections, extraction of ground and breaklines, and production of orthophotos, 3D PDFs, and iModels. Dramatically reduce processing time with the ability to run two ContextCapture instances in parallel on a single project.Įxtend your capabilities to extract value from reality modeling data with ContextCapture Editor, a 3D CAD module for editing and analyzing reality data, included with ContextCapture. You can easily produce 3D models using photos taken with an ordinary camera and/or LiDAR point clouds captured with a laser scanner, resulting in fine details, sharp edges, and geometric accuracy. ![]() Develop precise reality meshes affordably with less investment of time and resources in specialized acquisition devices and associated training. These highly detailed, 3D reality meshes provide precise real-world context for design, construction, and operations decisions throughout the lifecycle of a project. Produce 3D models of existing conditions for infrastructure projects, derived from photographs and/or point clouds. Add real-world context throughout the lifecycle of projects in design, construction, and operations. Take advantage of automated measurements and extract features for asset inventory, terrain creation, and asset verification and attribution. Easily visualize and navigate 3D mapping data real-time in full 2D and 3D. You can integrate and combine all your reality data into one single digital context. “It is also a straightforward and inexpensive method with recyclable reagents, so we believe that it is suitable for large-scale practical applications.Bentley’s reality modeling software can handle any size, and from many sources including point cloud, imagery, textured 3D mesh, and traditional GIS resources. “The approach can serve as a powerful toolkit, which may be used to improve the performance of various battery materials,” says Roman Kapaev. It was possible to control the content of metal ions in the cathodes by adjusting the amount of the reducing agents or their oxidation potentials. Moreover, it turned out to be applicable not only for lithium-ion batteries but also for sodium- and potassium ion batteries, which are potentially more sustainable and lower-cost energy storage devices. This approach is suitable for a broad spectrum of organic and inorganic battery materials. These features make the method promising for large-scale applications. Additionally, the reducing agents can be recycled after they react with the cathodes because their redox chemistry is reversible. The process requires no sophisticated conditions and is relatively safe. It was proposed to treat the cathodes with solutions of reducing agents, which are alkali metal salts derived from aromatic compounds, for example, naphthalene or phenazine.Īn important advantage of the approach is its scalability. This issue leads to limited capacity and, in many cases, complicates the practical implementation of otherwise appealing materials. It is caused by the lack of mobile metal ions in the cathodes. However, the batteries that rely on these materials can often reach their full energy density only when they contain unsafe, highly reactive anodes with extractable cations. As a result, various cathode materials with attractive properties have been proposed. Over the decades, researchers have been putting tremendous effort into developing better battery materials. However, problems including limited capacity, moderate cycling stability, low charge-discharge rate, issues with environmental friendliness, etc, still had to be solved. The creation of modern lithium-ion batteries became possible owing to several scientific breakthroughs. Implementation of these materials helped to avoid unsafe anodes, such as lithium metal.
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