关于作者

IF 5.1 Q1 POLYMER SCIENCE ACS Macro Letters Pub Date : 2013-05-01 DOI:10.1177/1529100613484445
P. Cossmann
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引用次数: 0

摘要

意大利罗马综合研究中心CIR,意大利罗马d.accoto@unicampus.it Dino Accoto是罗马大学Bio-Medico校区工业生物工程助理教授。他于2002年获得圣安娜高等学校生物医学机器人博士学位。自2004年以来,他一直在罗马大学校园生物医学机器人和生物微系统实验室工作。主要研究方向为可穿戴机器人、微工程和生物机电一体化。
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About the Authors
Università Campus Bio-Medico di Roma CIR – Center for Integrated Research Rome, Italy d.accoto@unicampus.it Dino Accoto is an Assistant Professor in Industrial Bioengineering at the Università Campus Bio-Medico di Roma. He received the PhD in biomedical robotics from the Scuola Superiore Sant’Anna in 2002. Since 2004, he has been with the Laboratory of Biomedical Robotics and Biomicrosystems at Università Campus Bio-Medico di Roma. His main research interests are in wearable robotics, microengineering and biomechatronics.
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来源期刊
CiteScore
10.40
自引率
3.40%
发文量
209
审稿时长
1 months
期刊介绍: ACS Macro Letters publishes research in all areas of contemporary soft matter science in which macromolecules play a key role, including nanotechnology, self-assembly, supramolecular chemistry, biomaterials, energy generation and storage, and renewable/sustainable materials. Submissions to ACS Macro Letters should justify clearly the rapid disclosure of the key elements of the study. The scope of the journal includes high-impact research of broad interest in all areas of polymer science and engineering, including cross-disciplinary research that interfaces with polymer science. With the launch of ACS Macro Letters, all Communications that were formerly published in Macromolecules and Biomacromolecules will be published as Letters in ACS Macro Letters.
期刊最新文献
Modeling of Chain Sequence Length and Distribution in Random Copolyesters Light-Driven Organocatalyzed Controlled Radical Copolymerization of (Perfluoroalkyl)ethylenes and Vinyl Esters/Amides Circular Cross-Linked Polyethylene Enabled by In-Chain Ketones. High-Entropy Strategy Flattening Lithium Ion Migration Energy Landscape to Enhance the Conductivity of Garnet-Type Solid-State Electrolytes Fast and generalizable micromagnetic simulation with deep neural nets
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