Documentos de Smith A.D. | REDI

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Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 12: Producción y consumo responsables"

Subtipo de publicación

Publisher

Applied Catalysis B: Environmental(1)

Journal of Chemical Theory and Computation(1)

Journal of Physical Chemistry C(1)

Área temáticas

Ciencias de la computación(2)

Física aplicada(2)

Métodos informáticos especiales(2)

Química analítica(2)

Química física(2)

Área de conocimiento

Ciencias de la computación(3)

Aprendizaje automático(2)

Simulación por computadora(2)

Fibra óptica(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(5)

ODS 3: Salud y bienestar(4)

ODS 7: Energía asequible y no contaminante(1)

Año de Publicación

Origen

Palabras Claves

Machine learning(2)

Color Features(1)

Data Analysis(1)

High-dimensional(1)

Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors

Abstract: We provide an in-depth convolutional neural network (CNN) analysis of optical responses of liquid cr

Palabras claves:

Abbott N.L., Smith A.D., Víctor M. Zavala

A machine learning framework for the analysis and prediction of catalytic activity from experimental data

Abstract: We present a machine learning framework to explore the predictability limits of catalytic activity f

Palabras claves:

Catalysis, Data Analysis, High-dimensional, Machine learning, pbkp_redictability

Dumesic J., Huber G.W., Keane A., Smith A.D., Víctor M. Zavala

Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks

Abstract: We report how analysis of the spatial and temporal optical responses of liquid crystal (LC) films to

Palabras claves:

Color Features, gas sensor, Liquid crystals, Machine learning, Spatiotemporal patterns

Abbott N.L., Bao N., Jiang S., Mavrikakis M., Schauer J.J., Smith A.D., Van Lehn R.C., Víctor M. Zavala

Topological Analysis of Molecular Dynamics Simulations using the Euler Characteristic

Abstract: Molecular dynamics (MD) simulations are used in diverse scientific and engineering fields such as dr

Palabras claves:

Chew A.K., Kelkar A.S., Maheshwari U., Runde S., Smith A.D., Van Lehn R.C., Víctor M. Zavala

Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species

Abstract: Detection and quantification of bacterial endotoxins is important in a range of health-related conte

Palabras claves:

Abbott N.L., Jiang S., Noh J., Park C., Smith A.D., Víctor M. Zavala