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Elsevier

Journals in Materials modelling

  • Matter

    • ISSN: 2590-2385
    Matter, a sister journal to Cell, is a monthly journal encompassing the general field of materials science, from nano to macro, fundamentals to application. Recognizing that materials discovery and development facilitate groundbreaking technologies bridging multiple disciplines, Matter will embrace all significant advances in materials research, encompassing the previously unknown and the innovative.A key focus will be on transformative research, related to fundamental structure, synthesis and assembly, properties and performance of emerging material systems, as well as novel characterization methods, thereby encapsulating key aspects of materials science. Materials of focus can be any state, any scale, any composition, i.e., any matter, with scientific or technological interest, theoretical or otherwise.Matter will highlight material type and scale of interest for each study, while also explicitly assessing the stage of material development. In this way, while still stressing fundamental science, materials advancement and progression can be tracked and put into context of potential impact, from concept to societal usage.Matter provides full-length research articles, reviews, topical perspectives, paper previews, opinions, personnel stories, and other editorial content of general interest to the global materials community. The journal aims to be the premier resource for researchers in both academia and industry, providing a platform of inspiration for the next generation of materials scientists.Visit the Cell Press website for more information about Matter - http://www.cell.com/...
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  • Acta Materialia

    • ISSN: 1359-6454
    Published on behalf of Acta Materialia, Inc.Acta Materialia provides a forum for publishing full-length, original papers and commissioned overviews, and feature articles that advance the understanding of the relationship between the processing, the structure and the properties of inorganic materials. Acta Materialia prioritizes papers that significantly move the field forward, advancing the thinking in the field and providing mechanistic processing-structure... connections. Explorations of such connections by experiment, computation, theory, data science, and machine learning are all welcome; studies that connect across theory, computation, and experiment through mechanistic means are especially relevant.Materials structure at all scales is of interest, from electronic, atomic, and molecular arrangements to microstructural elements, including crystal defects, polycrystalline and polyphase structures, and spanning to macrostructures formed by processing that impact properties and performance. The connection of these structural features to all kinds of properties is of interest, including mechanical and functional properties, thermodynamics and kinetics, phase transformations, etc.Short communications and comments to papers published in Acta Materialia may be submitted to Scripta Materialia.Manuscrip... about materials that fall outside the scope of Acta Materialia or Scripta Materialia may be submitted to Materialia, which is part of the Acta Materialia family of journals.
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