Results 121 to 130 of about 4,202,279 (295)

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

EQUIVALENCIA ENTRE SERIES TEMPORALES DE DIVERSIDAD PARA DOS NIVELES TAXONÓMICOS.

open access: yes, 2016
Se realizaron comparaciones entre series temporales de diversidad de especies y de diversidad de familias, con el fin de demostrar que las mediciones de diversidad a partir de un nivel taxonómico superior al de especies, pueden brindarnos series ...
Arellano Cruz, Germán   +1 more
core   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

open access: yes
Arthritis Care &Research, EarlyView.
Catherine Deffendall   +6 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Fundamentos para análisis de series temporales

open access: yes
El material del Bloque I de la asignatura Análisis de Series Temporales se centra en los fundamentos del análisis de series temporales, proporcionando una introducción a los conceptos básicos necesarios para su estudio y aplicación.
Marinescu, Marius   +3 more
core  

El proyecto EMECAM: discusión de los resultados en las ciudades participantes

open access: yesRevista Española de Salud Pública, 1999
En este artículo se comparan y discuten los resultados obtenidos en los análisis locales de las 14 ciudades participantes en el proyecto EMECAM. Se analizan las series temporales de mortalidad, contaminantes (partículas en suspensión, SO2, NO2, O3 y CO),
Ballester Díez Ferran   +14 more
doaj  

Modelos de series temporales

open access: yes
Este trabajo se centra en el análisis de series temporales centrándose en los modelos autorregresivos y en los de medias móviles. Primero, se introducirá el concepto de serie de tiempo así como algunos modelos simples y sus respectivas propiedades.
openaire   +1 more source

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