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1 Ergebnisse
1
Machine Learning-Driven, Sensor-Integrated Microfluidic Dev..:
Paria Coliaie (11976696)
;
Aditya Prajapati (3358325)
;
Rabia Ali (11976699)
...
https://figshare.com/articles/journal_contribution/Machine_Learning-Driven_Sensor-Integrated_Microfluidic_Device_for_Monitoring_and_Control_of_Supersaturation_for_Automated_Screening_of_Crystalline_Materials/18739566. , 2022
Link:
https://doi.org/10.1021/acssensors.1c02358.s001
RT Journal T1
Machine Learning-Driven, Sensor-Integrated Microfluidic Device for Monitoring and Control of Supersaturation for Automated Screening of Crystalline Materials
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18739566&Exemplar=1&LAN=DE A1 Paria Coliaie (11976696) A1 Aditya Prajapati (3358325) A1 Rabia Ali (11976699) A1 Akshay Korde (7354958) A1 Manish S. Kelkar (2064352) A1 Nandkishor K. Nere (1874239) A1 Meenesh R. Singh (1391302) YR 2022 K1 Biochemistry K1 Medicine K1 Biotechnology K1 Plant Biology K1 Space Science K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 various metals tested K1 similar functional groups K1 measured anodic slope K1 functional groups present K1 integrated microfluidic device K1 flow microfluidic mixer K1 miniaturized devices allow K1 >- aminobenzoic acid K1 guided electrochemical sensors K1 integrated microfluidic system K1 sensitivity toward l K1 microfluidic devices K1 electrochemical sensors K1 highest sensitivity K1 glutamic acid K1 solute concentration K1 situ measurement K1 sensitive detection K1 printed electrode K1 predictive measurement K1 potential applications K1 molecule drugs K1 experimental conditions K1 ethanol ratios K1 different water K1 different ratios K1 cyclic voltammograms K1 batch system K1 automated screening K1 almost 80 JF https://figshare.com/articles/journal_contribution/Machine_Learning-Driven_Sensor-Integrated_Microfluidic_Device_for_Monitoring_and_Control_of_Supersaturation_for_Automated_Screening_of_Crystalline_Materials/18739566 LK http://dx.doi.org/https://doi.org/10.1021/acssensors.1c02358.s001 DO https://doi.org/10.1021/acssensors.1c02358.s001 SF ELIB - SuUB Bremen
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