Results 41 to 50 of about 373,131 (273)
Machine Learning Applied to High Entropy Alloys under Irradiation
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 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
Dual NURBS interpolation has been proven an essential technique for high-speed precision machining of complex surfaces. The solution of rotation angles and their derivatives is the basis of kinematic transformation and feedrate optimization in dual NURBS
Pengpeng Sun +4 more
doaj +1 more source
Subgrain and Cavity Development during Creep of Al‐3.85%Mg
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac +6 more
wiley +1 more source
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato +6 more
wiley +1 more source
Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components
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
Equivariant orientation of vector bundles over disconnected base spaces [PDF]
Prasit Bhattacharya, Foling Zou
openalex +1 more source
Cubic Bézier curves are used in the synthesis of novel surface‐based metamaterials with tunable mechanical properties. Surface‐based geometries are 3D printed and tested in compression. The resulting mechanical properties are correlated to changes in the shape of the base curve, with high potential in energy absorption through the adjustment of their ...
Alberto Álvarez‐Trejo +2 more
wiley +1 more source
Mapping the Auditory Space of Culex pipiens Female Mosquitoes in 3D
The task of directional hearing faces most animals that possess ears. They approach this task in different ways, but a common trait is the use of binaural cues to find the direction to the source of sound.
Dmitry N. Lapshin, Dmitry D. Vorontsov
doaj +1 more source
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos +8 more
wiley +1 more source

