期刊名称 | Integrating Materials and Manufacturing Innovation INTEGR MATER MANUF I |
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期刊ISSN | 2193-9764 |
期刊官方网站 | https://www.springer.com/40192 |
是否OA | No |
出版商 | Springer International Publishing AG |
出版周期 | Quarterly |
文章处理费 | 登录后查看 |
始发年份 | 2012 |
年文章数 | 40 |
最新影响因子 | 2.4(2023) scijournal影响因子 greensci影响因子 |
大类学科 | 小类学科 | Top | 综述 |
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CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 5.3 | 0.742 | 0.856 |
Engineering Industrial and Manufacturing Engineering |
111/384 | 71% |
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Materials Science General Materials Science |
170/463 | 63% |
自引率 | 4.2% |
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H-index | |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2193-9764%5BISSN%5D |
期刊投稿网址 | https://www.editorialmanager.com/immj/default.aspx |
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收稿范围 | Integrating Materials and Manufacturing Innovation (IMMI) is committed to building a seamless and dynamic model-based framework supporting the accelerated discovery, development, and application of materials and manufacturing processes. The journal explores innovations from the discovery of materials through their manufacture that support the practice of Integrated Computational Materials Engineering (ICME). IMMI focuses on presenting new experimental and computational tools, data analysis and management methods, and valuable multiscale datasets, as well as the application and the impact using of an ICME approach to advance materials and manufacturing technologies. IMMI provides a platform for the presentation of novel research and engineering efforts seeking to solve pervasive or recurring needs in materials and manufacturing that adhere to the discipline of ICME. IMMI supports research seeking to build model-based definitions of materials and manufacturing processes that incorporate the processing-structure-properties-performance paradigm. The journal provides a venue for presenting innovative approaches to overcoming key technical challenges in integrating experiment, computation, and data that support creation of a materials innovation infrastructure for ICME. These challenges include description and representation of complex material structure, application of artificial intelligence approaches, data management, model verification and validation, as well as seamlessly linking simulations and data. Tools and methods that integrate and manage information and knowledge across length and time scales as well as discipline boundaries are extraordinarily complex and at the forefront of scientific and engineering progress. The journal will publish: Research results that support building model-based definitions of materials and manufacturing processes that are compatible with model-based engineering design processes and multidisciplinary design optimization Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are intended for use in ICME applications Reports on efforts to develop and apply artificial intelligence and machine learning techniques that advance the development and deployment of materials and manufacturing processes within an ICME paradigm. Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and data exchange of importance to ICME In-depth descriptions of data, databases, and database tools of high value to the materials and manufacturing communities Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing following the ICME discipline IMMI highly encourages linking the key digital data supporting published articles to a publicly accessible data repository. Sufficient metadata must be included with datasets to adequately describe their provenance and enable reuse by others. Data associated with published articles should strive to meet FAIR data principles (https://www.go-fair.org/fair-principles/) |
收录体裁 | Support the publication of research on establishing model-based material and process definitions, new experiments or computational tools or data analysis techniques and their applications, detailed case studies, and in-depth descriptions of data, databases and database tools. Integrated materials and manufacturing innovations are highly encouraged to submit key data supporting published articles to a publicly accessible data repository. The data set must contain sufficient metadata, including uncertainty quantification, to fully describe its source. |
投稿指南 | https://link.springer.com/journal/40192/submission-guidelines |
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