Results 61 to 70 of about 88,232 (305)
Evolutionary learning in neural networks by heterosynaptic plasticity
iScienceSummary: Training biophysical neuron models provides insights into brain circuits’ organization and problem-solving capabilities. Traditional training methods like backpropagation face challenges with complex models due to instability and gradient issues.
Zedong Bi +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
Are some individuals generally more behaviorally plastic than others? An experiment with sailfin mollies [PDF]
PeerJ, 2018 Individuals within the same population generally differ among each other not only in their behavioral traits but also in their level of behavioral plasticity (i.e., in their propensity to modify their behavior in response to changing conditions).
Julie Gibelli +2 more
doaj +2 more sources
Comparison between defects and micro-notches in multiaxial fatigue – The size effect and the gradient effect [PDF]
, 2009 Lien vers la version éditeur: http://www.sciencedirect.com/science/article/pii/S0142112308002156This paper attempts to improve the understanding of the multiaxial high cycle fatigue response of micro sized stress concentrations or notches of different ...
MOREL, Franck, NADOT, Yves, MOREL, Anne
core +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Strain Gradient Plasticity Analysis of Amorphous Plasticity
Procedia Structural IntegrityAmorphous materials lack a defined crystalline structure, exhibiting a disordered atomic arrangement that imparts superb mechanical properties and great potential for applications in many areas. Because of their disordered nature, metallic glasses exhibit dramatically different deformation behaviours than crystalline materials.
Izzet Erkin Ünsal, Tuncay Yalçinkaya
openaire +4 more sources
Energetic Approach to Large Strain Gradient Crystal Plasticity
Acta Polytechnica, 2012 We formulate a problem of the evolution of elasto-plastic materials subjected to external loads in the framework of large deformations and multiplicative plasticity.
Jan Kratochvíl, Martin Kružík
doaj
On strain hardening mechanism in gradient nanostructures [PDF]
, 2017 Experiments have shown that a gradient design, in which grain size spans over four orders of magnitude, can make strong nanomaterials ductile. The enhanced ductility is attributed to the considerable strain hardening capability obtained in the gradient ...
Li, JJ (reprint author), Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Dept Engn Mech, Xian 710129, Shaanxi, Peoples R China. +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Evaluation of the Implicit Gradient-Enhanced Regularization of a Damage-Plasticity Rock Model
Applied Sciences, 2018 In the present publication, the performance of an implicit gradient-enhanced damage-plasticity model is evaluated with special focus on the prediction of complex failure modes such as shear failure.
Magdalena Schreter +2 more
doaj +1 more source