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The latter is a feature of many materials systems and makes accurate numerical simulations challenging.
Nevertheless, for many materials systems like polymer nanocomposites, only 2D microstructural images are available even with the state-of-the-art imaging techniques.
However, key challenges exist in many aspects of ICME framework, such as the lack of diffusion/mobility databases for many materials systems, limitation of current microstructural modeling capability and integration tools for simulation codes of different length scales.
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"The breakthroughs of these three scientists allowed massive progress to be made in understanding and calculating the properties of many material systems.
Many material systems of DMSs, such as ZnO, TiO2, SnO2, In2O3, GaAs, and also GeMn[2 5], have been widely studied.
Such behavior is observed in many material systems such as organic films [119 123], chalcogenides [124 126], metal oxides [127 129], dielectric oxides [130 132], perovskites [133 136], etc.
Under the umbrella of concurrent engineering, many materials selection systems have been developed using computer software packages like expert system, analytical hierarchy process, neural network, and fuzzy logics.
The methodology developed is suitable to produce many nano-material systems, including graphene and silicon nanowires.
The hierarchical length scale bridging methodology employed here for a polymer based composite has applications for many other material systems.
Although NWs with low defect density have been reported, many NW material systems suffer from various types of planar defects, predominantly rotational twins and twinning superlattices, alternating zinc-blende (ZB /wurtzite polytypes, as well as point defects [9 12].
Specifically for energy storage systems, many materials that exhibit promise in bulk form for high capacity or energy density exhibit surfaces that are unstable or reactive in electrochemical environments when downsized to nanometer length scales.
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