Results 161 to 170 of about 5,594,796 (332)
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Editorial: interventions and boundaries in Learning Development spaces
, 1969 John Hilsdon +5 more
openalex +2 more sources
Regulation of Synaptic Function by Neurotrophic Factors in Vertebrates and Invertebrates: Implications for Development and Learning [PDF]
, 1999 Sharen E. McKay +2 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Learning-by-Doing and the Development of Industrial Districts [PDF]
, 1998 Antoine Soubeyran +1 more
openalex +1 more source
Developing audiences, developing learning: audience needs and the nature of learning
Nordisk Museologi, 1970 Museums are by their nature, cultural institutions. Culture can be seen in many ways, as a commodity, as a social construct or as a political tool. We make many assumptions about cultural institutions. We develop cultural norms that shape our behaviour, attitudes and opinions. We read cues from our environment as well as from signs and notices.
openaire +3 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. [PDF]
EBioMedicine, 2023 Dashtban A +9 more
europepmc +1 more source