Results 131 to 140 of about 195,223 (244)

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Escala de locus de controle da saúde - MHLC: estudos de validação

Revista Latino-Americana de Enfermagem, 2002
Este estudo trata dos procedimentos para adaptação e validação da escala de locus de controle da saúde - MHLC, traduzida para o Espanhol. A coleta de dados foi realizada em Villavicencio --Colômbia, e contou com a participação de 242 mulheres, com idade ...
Rodríguez-Rosero Jesús Edilberto, Ferriani Maria das Graças Carvalho, Dela Coleta Marilia Ferreira   +2 more
doaj  

Será do género dos filhos ou dos pais? estudo sobre o efeito do género das crianças e dos pais na qualidade da interação, comunicação e atividade conjunta [PDF]

, 2015
Dissertação apresentada na Escola Superior de Educação de Lisboa para obtenção do grau de Mestre em Ciências da Educação. Especialidade Intervenção PrecoceA investigação, realizada nos contextos de vida, tende a descrever os pais (do género masculino ...
Fernandes, Isabel Maria dos Santos Justo
core  

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Percepções do enfermeiro: manuseio do copo pelas mães na alimentação do recém-nascido em unidade neonatal [Perceptions of nurses: the use of cup by mothers in feeding their newborns in the neonatal unit]

Revista Enfermagem UERJ, 2014
Objetivou-se descrever as percepções do enfermeiro em relação ao manuseio do copo pelas mães na alimentação do recém-nascido, em unidade neonatal. Estudo qualitativo, realizado em uma unidade neonatal de um hospital universitário do município do Rio de ...
Sandra Teixeira de Araújo Pacheco, Raissa Rodrigues Organista, Benedita Maria Rêgo Deusdará Rodrigues, Mirian Carla Rosse Dionisio, Michele de Oliveira Guimarães Carvalho, Simone Muniz de Souza   +5 more
doaj  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source