Results 111 to 120 of about 169 (169)
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
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+9 more
wiley +1 more source
Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya+5 more
wiley +1 more source
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold+9 more
wiley +1 more source
Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech+6 more
wiley +1 more source
This study investigates the magnetic properties and microstructures of 2PM‐manufactured Ce‐containing (Nd,Pr)‐Fe‐B magnets. The addition of Nd and Dy significantly enhances coercivity by 25% and 81%, respectively, attributed to core‐shell structures.
Chi‐Chia Lin+6 more
wiley +1 more source
Recent Progress on 2D‐Material‐Based Smart Textiles: Materials, Methods, and Multifunctionality
Advancements in 2D‐material‐integrated smart textiles are reviewed, with a focus on materials, fabrication methods, and multifunctional applications, including energy harvesting, monitoring, EMI shielding, energy storage, and thermal management. The discussion addresses key challenges and provides insights into the future development of next‐generation
Yong Choi+5 more
wiley +1 more source
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder+6 more
wiley +1 more source
Laboratory protocols for producing thin‐film pH electrodes for sterilized single‐use technologies have been successfully developed into a semiautomated workflow, with higher throughput and precision of membrane thickness. Accuracies are within 0.05 pH units versus ground truth, and uncertainty analysis reveals the largest sources of error to be derived
Bingyuan Zhao+4 more
wiley +1 more source