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      Study on a new self-sensing magnetorheological elastomer bearing

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      AIP Advances
      AIP Publishing

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          Exceptionally high Young's modulus observed for individual carbon nanotubes

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            Is Open Access

            Super-stretchable, Transparent Carbon Nanotube-Based Capacitive Strain Sensors for Human Motion Detection

            Realization of advanced bio-interactive electronic devices requires mechanically compliant sensors with the ability to detect extremely large strain. Here, we design a new multifunctional carbon nanotube (CNT) based capacitive strain sensors which can detect strains up to 300% with excellent durability even after thousands of cycles. The CNT-based strain gauge devices exhibit deterministic and linear capacitive response throughout the whole strain range with a gauge factor very close to the predicted value (strictly 1), representing the highest sensitivity value. The strain tests reveal the presented strain gauge with excellent dynamic sensing ability without overshoot or relaxation, and ultrafast response at sub-second scale. Coupling these superior sensing capabilities to the high transparency, physical robustness and flexibility, we believe the designed stretchable multifunctional CNT-based strain gauge may have various potential applications in human friendly and wearable smart electronics, subsequently demonstrated by our prototypical data glove and respiration monitor.
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              Characterizing and Patterning of PDMS-Based Conducting Composites

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                Author and article information

                Journal
                AIP Advances
                AIP Advances
                AIP Publishing
                2158-3226
                June 2018
                June 2018
                : 8
                : 6
                : 065001
                Affiliations
                [1 ]Department of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
                Article
                10.1063/1.5025384
                2b6f1361-93cc-493a-b366-518686620726
                © 2018
                History

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