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期刊介紹

  npj 計算材料學》是在線出版、完全開放獲取的國際學術期刊。發表結合計算模擬與設計的材料學一流的研究成果。本刊由中國科學院上海硅酸鹽研究所與英國自然出版集團(Nature Publishing Group,NPG)以伙伴關系合作出版。 

  主編為陳龍慶博士,美國賓州大學材料科學與工程系、工程科學與力學系、數學系的杰出教授。共同主編為陳立東研究員,中國科學院上海硅酸鹽研究所研究員高性能陶瓷與超微結構國家重點實驗室主任。

  辦刊目的與報道范圍

  npj 計算材料學》是在線出版、完全開放獲取的國際學術期刊,發表各種基于理論指導、設計的材料學和計算模擬并實驗合成的材料學領域原始數據論文、綜述文章、社評。

  本刊注重報道的專題包括但不限于以下幾個方面: 

  由設計而合成的材料:通過理論、計算和數據分析而設計或發現材料的新化學組成、新原子/電子結構、新型微結構/異質結構、新結構缺陷,以及外部作用所帶來的新性能或原有性能提升。 

  • 理論設計后,材料的實驗合成、表征及其應用。
  • 材料的實驗和計算一體化研究。
  • 為應用于材料理論設計的各種計算和數據分析工具。
  • 為產出材料各種數據而進行的實驗合成和表征手段。
  • 材料各種數據的產出和分析。
  • 通過理論和計算對某種材料令人耳目一新的或更深層次的認識。

  本刊還將為每篇文章配發專業水平的社評概要,概述全文所包含的重要創新點。 

  詳細的“辦刊目的與報道范圍”見本刊PDF版Guide for Authors 

   (http://www.nature.com/authorguide/npjcompumats/npjcompumats-gta.pdf)  

  npj Computational Materials is an online only, fully open access journal dedicated to publishing the finest articles on materials by design and integrated computational and experimental materials research. The journal is a partnership between Nature Publishing Group and the Shanghai Institute of Ceramics of the Chinese Academy of Sciences.

  The Editor-in-Chief is Dr. Long-Qing Chen. Dr Long-Qing Chen is Distinguished Professor of Materials Science and Engineering, Engineering Science and Mechanics, and Mathematics at the Pennsylvania State University.

  The Co-Editor-in-Chief is Dr. Li-Dong Chen, a Professor of Shanghai Institute of Ceramics, CAS. Prof. Li-Dong Chen is the Director of the State Key Laboratory of High Performance Ceramics and Superfine Microstructure.

  Aims & Scope

  npj Computational Materials is an online only, fully open access journal dedicated to publishing original results, review articles, and editorials on materials by design and integrated computational and experimental materials research.

  Topics of interest to the journal include, but not limited to the following:

  Materials by design: design or discovery of materials (with new chemistry, new atomic/electronic structures, new microstructures/heterostructures, new defect structures, or new or dramatically enhanced properties under external constraints) guided by theory, computation, and data mining

  • Experimental synthesis, characterization, and applications of materials by design
  • Integrated experimental and computational studies of materials
  • Computational and data mining tools for materials by design
  • Experimental synthesis and characterization tools for generating materials data
  • Materials data generation and data mining
  • Significantly new or enhanced understanding of a material through theory and computation.

  The journal will also publish a professionally written Editorial Summary to accompany each Article, which will summarise the key issues being addressed within the full article.

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