Results 171 to 180 of about 2,395,394 (337)
StahlDigital: Ontology‐Based Workflows for the Steel Industry
The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters+18 more
wiley +1 more source
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
AbstractMany complex structures may be generated from simple modules with the aid of an algorithm or generating rule. The properties of space generally impose restrictions on the shape of the module. As examples we consider tilings of the euclidean plane and of the sphere, lattices and lattice complexes, Dirichlet Domains and space-filling, and the ...
openaire +2 more sources
Engineering symmetry breaking in 2D layered materials
Luojun Du+6 more
semanticscholar +1 more source
This article critically reviews the recent advances in the development of nanomaterial‐based inks derived from 2D nanomaterials and how the addition of 2D nanomaterials alters the rheology of different polymers for 3D printing. The review further explores the application of 3D‐printed structures in the electronics, sensor, and energy sectors.
Amanuel Gebrekrstos+3 more
wiley +1 more source
AbstractAn attempt is made to show that “symmetry”, by prescribing equalities between objects at a particular level, implies that there are higher levels of organisation and thus a hierarchy of ordering.
openaire +2 more sources
This study investigates the electrochemical synthesis and morphological control of TiO2 nanostructures, including nanotubes, nanograss, and nanolace. Adjusting anodization parameters establishes key aspects of growth mechanisms, providing a pathway for optimizing TiO2 nanostructures for applications in sensors and nanotechnology. Titanium dioxide (TiO2)
Younghwan Kim, Swomitra Kumar Mohanty
wiley +1 more source
Refractory high‐entropy alloys have attracted substantial attention for future ultrahigh‐temperature structural applications. Here the progression of key phase transformations in AlMo0.5NbTa0.5TiZr is established and correlated to the mechanical performance, highlighting the importance of the B2 phase.
George J. Wise+5 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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
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+2 more
wiley +1 more source