期刊信息

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (TMBMC)

请登录查看期刊网址
免费注册:查看官网链接、跟踪截稿日期,并接收邮件提醒。
影响因子:
2.3
出版商:
IEEE
ISSN:
2372-2061
浏览:
18490
关注:
0
用 API 获取这条数据
搜索与榜单列表完全无需凭证;本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

征稿

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (TMBMC) is an academic journal published by IEEE. (ISSN 2372-2061, impact factor 2.3).

As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary signaling techniques using chemistry, biology, novel electron transfer, and other principles not previously examined. Scope This journal is devoted to the principles, design, and analysis of signaling and information systems that use physics beyond conventional electromagnetism, particularly for small-scale and multi-scale applications. This includes: molecular, quantum, and other physical, chemical and biological (and biologically-inspired) techniques; as well as new signaling techniques at these scales. As the boundaries between communication, sensing and control are blurred in these novel signaling systems, research contributions in a variety of areas are invited. Original research articles on one or more of the following topics are within the scope of the journal: mathematical modeling, information/communication-theoretic or network-theoretic analysis, networking, implementations and laboratory experiments, systems biology, data-starved or data-rich statistical analyses of biological systems, industrial applications, biological circuits, biosystems analysis and control, information/communication theory for analysis of biological systems, unconventional electromagnetism for small or multi-scale applications, and experiment-based studies on information processes or networks in biology. Contributions on related topics would also be considered for publication.
由 Dou Sun 最后更新于

相关会议

评论 0

暂无评论。

请登录后发表评论