Influence of Alloying Elements on the Dynamic Recrystallization of 4 wt.-% Medium Manganese Steels. [PDF]
Gramlich A, Schäfers H, Krupp U.
europepmc +1 more source
Dynamic recrystallization behavior of selective laser melted 316L stainless steel
Zahra Abbasi, H.R. Abedi
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Dynamic Recrystallization of Olivine During Simple Shear: Evolution of Microstructure and Crystallographic Preferred Orientation From Full‐Field Numerical Simulations [PDF]
Yuanchao Yu +7 more
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SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
Identification of Dynamic Recrystallization Model Parameters for 40CrMnMoA Alloy Steel Using the Inverse Optimization Method. [PDF]
Chen X +5 more
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Modeling and Simulation of Dynamic Recrystallization Microstructure Evolution for GCr15 Steel Using the Level Set Method. [PDF]
Chen X +6 more
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Dynamic Recrystallization Simulation of PH13-8Mo Stainless Steel by Cellular Automata Method Based on Laasraoui-Jonas Dislocation Density Model. [PDF]
Hu L +5 more
europepmc +1 more source
Dynamic Recrystallization Behavior and Processing Map of the 6082 Aluminum Alloy. [PDF]
Hu DC, Wang L, Wang HJ.
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