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An ionic liquid-modified RGO/polyaniline composite for high-performance flexible all-solid-state supercapacitors - Chemical Communications (RSC Publishing) DOI:10.1039/D0CC04691D
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Electrospun Carbon Nanofibers/Carbon Nanotubes/Polyaniline Ternary Composites with Enhanced Electrochemical Performance for Flexible Solid-State Supercapacitors | ACS Sustainable Chemistry & Engineering
Polyaniline growing on polylactic acid substrate towards flexible and biodegradable supercapacitors
Diverse Structures and Dimensionalities in Zn(II), Cd(II), and Hg(II) Metal Complexes with Piperonylic Acid | Crystal Growth & Design
![A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/9945/1/fig-1-full.png "A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]")
A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]
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![A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/9945/1/fig-4-full.png "A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]")
A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]
Flexible, yet robust polyaniline coated foamed polylactic acid composite electrodes for high-performance supercapacitors | SpringerLink
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Evaluation of blast-induced ground vibration effects in a new residential zone - ScienceDirect
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Oxidized fatty acid analysis by charge-switch derivatization, selected reaction monitoring, and accurate mass quantitation - ScienceDirect
![A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/9945/1/fig-3-full.png "A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]")
A descriptive study of random forest algorithm for predicting COVID-19 patients outcome [PeerJ]
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