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A machine learning framework for the analysis and pbkp_rediction of catalytic activity from experimental data
ArticleAbstract: We present a machine learning framework to explore the pbkp_redictability limits of catalytic activiPalabras claves:Catalysis, Data Analysis, High-dimensional, Machine learning, pbkp_redictabilityAutores:Dumesic J., Huber G.W., Keane A., Smith A.D., Víctor M. ZavalaFuentes:scopusSensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks
ArticleAbstract: We report how analysis of the spatial and temporal optical responses of liquid crystal (LC) films toPalabras claves:Color Features, gas sensor, Liquid crystals, Machine learning, Spatiotemporal patternsAutores:Abbott N.L., Bao N., Jiang S., Mavrikakis M., Schauer J.J., Smith A.D., Van Lehn R.C., Víctor M. ZavalaFuentes:scopusTopological data analysis: Concepts, computation, and applications in chemical engineering
ArticleAbstract: A primary hypothesis that drives scientific and engineering studies is that data has structure. ThePalabras claves:DATA, Engineering, Geometry, space, TIME, TopologyAutores:Dłotko P., Smith A.D., Víctor M. ZavalaFuentes:scopus