Results 121 to 130 of about 274,434 (381)

Numerical study of the shape and integral parameters of a dendrite

open access: yes, 2004
We present a numerical study of sidebranching of a solidifying dendrite by means of a phase--field model. Special attention is paid to the regions far from the tip of the dendrite, where linear theories are no longer valid.
J.S. Langer   +6 more
core   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang   +8 more
wiley   +1 more source

Coding and decoding with dendrites

open access: yesJournal of Physiology-Paris, 2014
Since the discovery of complex, voltage dependent mechanisms in the dendrites of multiple neuron types, great effort has been devoted in search of a direct link between dendritic properties and specific neuronal functions. Over the last few years, new experimental techniques have allowed the visualization and probing of dendritic anatomy, plasticity ...
Maria Psarrou   +6 more
openaire   +3 more sources

A Phase-Field Model of Spiral Dendritic Growth

open access: yes, 1996
Domains of condensed-phase monolayers of chiral molecules exhibit a variety of interesting nonequilibrium structures when formed via pressurization.
A. A. Wheeler   +24 more
core   +2 more sources

Direct Consolidation of Copper–Graphene Composite by Rotary Swaging

open access: yesAdvanced Engineering Materials, EarlyView.
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich   +2 more
wiley   +1 more source

Crossover Scaling in Dendritic Evolution at Low Undercooling

open access: yes, 1999
We examine scaling in two-dimensional simulations of dendritic growth at low undercooling, as well as in three-dimensional pivalic acid dendrites grown on NASA's USMP-4 Isothermal Dendritic Growth Experiment.
A. A. Wheeler   +38 more
core   +1 more source

Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller   +5 more
wiley   +1 more source

Dendrites [PDF]

open access: yesGenes & Development, 2001
Y N, Jan, L Y, Jan
openaire   +2 more sources

Crystal‐Symmetry‐Driven Build Orientation and its Impact on the {110}<100> Goss Texture Formation and Mechanical Properties of Laser Powder Bed Fused AISI 316L

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores a crystal‐symmetry‐based approach to optimize mechanical properties in laser powder bed fused AISI 316L with predominant {110}<100> Goss textures. By varying the build orientation, the microstructure can be tailored and the tensile properties optimized. The tilted build (T110) achieved the highest strength while preserving ductility,
Daniel Rainer   +7 more
wiley   +1 more source

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

open access: yes, 2015
In this article, we propose a novel Winner-Take-All (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it.
Basu, Arindam, Roy, Subhrajit
core   +1 more source

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