How Machine Learning Will Revolutionize Electrochemical Sciences
Aashutosh Mistry, Alejandro A. Franco, Samuel J. Cooper, Scott Alan Roberts, Venkatasubramanian Viswanathan
Abstract
the development cycle from decades to a few years. We outline the necessary characteristics of such ML implementations. Instead of enumerating various ML algorithms, we discuss scientific questions about the electrochemical systems to which ML can contribute.
Topics & Concepts
Computer scienceProcess (computing)ImplementationFunction (biology)Frame (networking)ElectrochemistryMachine learningArtificial intelligenceBiochemical engineeringNanotechnologyMaterials scienceSoftware engineeringChemistryEngineeringElectrodeTelecommunicationsPhysical chemistryEvolutionary biologyBiologyOperating systemMachine Learning in Materials ScienceFuel Cells and Related MaterialsCO2 Reduction Techniques and Catalysts