2018
DOI: 10.1016/j.anucene.2017.09.002
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A novel framework for intelligent signal detection via artificial neural networks for cyclic voltammetry in pyroprocessing technology

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Cited by 5 publications
(2 citation statements)
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“…However, only a few recent efforts exist to systematically capture electrochemistry procedural data and/or automate electrochemistry experiments. 22,[35][36][37] Yet electrochemistry, and especially cyclic voltammetry (CV), holds a crucial role in chemical research, as elds as diverse as drug discovery, 38,39 energy and materials, [40][41][42] process engineering, 43,44 and environmental chemistry 45 use CV for characterization and analysis. Thus, soware to capture electrochemical procedural data and subsequent soware and hardware to translate these data into automated CV experimentation and measurements can have broad impact.…”
Section: Introductionmentioning
confidence: 99%
“…However, only a few recent efforts exist to systematically capture electrochemistry procedural data and/or automate electrochemistry experiments. 22,[35][36][37] Yet electrochemistry, and especially cyclic voltammetry (CV), holds a crucial role in chemical research, as elds as diverse as drug discovery, 38,39 energy and materials, [40][41][42] process engineering, 43,44 and environmental chemistry 45 use CV for characterization and analysis. Thus, soware to capture electrochemical procedural data and subsequent soware and hardware to translate these data into automated CV experimentation and measurements can have broad impact.…”
Section: Introductionmentioning
confidence: 99%
“…17,25 Yet electrochemistry, and especially cyclic voltammetry (CV), holds a crucial role in chemical research. Fields ranging across drug discovery, 26,27 energy and materials research, [28][29][30] process engineering, 31,32 and environmental chemistry 33 use CV for characterization and analysis. Thus, software to capture electrochemical procedural data and subsequent software and hardware to translate these data into automated CV experimentation and measurements can have broad impact across science.…”
Section: Introductionmentioning
confidence: 99%