Results 221 to 230 of about 3,066,756 (267)

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing—Part II: Processability by Powder Bed Fusion of Metals Using a Laser Beam

Advanced Engineering Materials, EarlyView.
In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke, Tim R. Brocksieper, Arne Lüddecke, Tobias Grimm, Arno Kwade, Jan T. Sehrt   +5 more
wiley   +1 more source

Enhancing the accuracy of seismic velocity in near-surface layers through Laplacian spectra analysis of weighted graphs. [PDF]

Sci Rep
Alfuraidan MR, Al-Shuhail AA, Hanafy SM, Sarumi IO.   +3 more
europepmc   +1 more source

Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing

Advanced Engineering Materials, EarlyView.
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická, Josef Walek, Radim Kocich   +2 more
wiley   +1 more source

Ligand-receptor dynamics in heterophily-aware graph neural networks for enhanced cell type prediction from single-cell RNA-seq data. [PDF]

Front Mol Biosci
Duan L, Hashemi M, Ngom A, Rueda L.
europepmc   +1 more source

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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Multi-Modal Graph Neural Networks for Colposcopy Data Classification and Visualization. [PDF]

Cancers (Basel)
Chatterjee P, Siddiqui S, Kareem RSA, Rao SR.   +3 more
europepmc   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

An intelligent guided troubleshooting method for aircraft based on HybirdRAG. [PDF]

Sci Rep
Xie X, Tang X, Gu S, Cui L.
europepmc   +1 more source

Influence of a Hydrogen Addition to the Inert Gas and Subsequent Heat Treatments on the Microstructure and Mechanical Properties of Magnesium WE43 Fabricated by PBF‐LB/M

Advanced Engineering Materials, EarlyView.
This article investigates optimal processing conditions for the laser‐based powder bed fusion of WE43. To limit the interaction with remaining oxygen, a 3 vol% hydrogen admixture to the inert gas is investigated. Furthermore, heat treatments are investigated in the range of 250–350 °C for 48 h.
Arvid Abel, Elmar Jonas Breitbach, Hannes Holländer, Michael Müller, Tjorben Griemsmann, Christian Klose, Jörg Hermsdorf, Hans Jürgen Maier, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source

HFKG-RFE: An algorithm for heterogeneous federated knowledge graph. [PDF]

PLoS One
Li C, Zheng H, Liu G.
europepmc   +1 more source