Results 141 to 150 of about 28,300 (310)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
We report an elastomeric lithium metal anode integrating hierarchical nano–micro architectures with uniformly assembled lithiophilic amine functionalities. This design enables synergistic stress and interfacial regulation, effectively suppresses dendritic growth, and ensures stable cycling, highlighting elastomeric anodes as a promising platform for ...
Sungha Choi +16 more
wiley +1 more source
Laser Powder Bed Fusion (LPBF)-processed AlSi10Mg produces highly heterogeneous microstructures, where fine α-Al cells, Si-rich networks, and melt-pool boundaries govern local mechanical behavior.
Aikaterini Argyrou +4 more
doaj +1 more source
Benchmarking the Elastic Modulus of Conjugated Polymers with Nanoindentation [Elektronisk resurs]
The elastic modulus is a critical parameter for the design of conjugated polymers for wearable electronics and correlates with electrical and thermal transport.
Huang, Jun-Da, +37 more
core +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Kevlar is traditionally modeled as a rigid‐rod polymer, yet rheological behavior deviates from this assumption. The review introduces a novel “twist‐tie” entanglement theory for aramid polymer chains in the nematic liquid crystal state, providing a molecular explanation for deviations from rigid‐rod models. Understanding twist‐tie entanglement dynamics
Emma Egli +3 more
wiley +1 more source
Mandible composition and properties in two selected praying mantises (Insecta, Mantodea)
Abstract Insects process their food with their cuticle‐based mouthparts. These feeding structures reflect their diversity and can, in some cases, showcase adaptations in material composition, mechanical properties, and shape to suit their specific dietary preferences.
Malo Roze +3 more
wiley +1 more source
Marine silicon for biomedical sustainability
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han +3 more
wiley +1 more source
A dipole–matching strategy is proposed to engineer PVDF‐HFP solid polymer electrolytes by incorporating 3,5–bis(trifluoromethyl)benzoic acid. Dipole interactions regulate polymer nucleation and phase alignment, forming compact microstructures, while controlled FSI– decomposition induces a LiF–rich interphase, enabling fast Li+ transport, uniform ...
Ya Song +11 more
wiley +1 more source
Serrated Plastic Flow During Nanoindentation in Nd-Based Bulk Metallic Glasses
The microstructure of Nd_{60}Al_{10}Ni_{10}Cu_{20-x}Fex (x = 0, 5, 7, 10, 15, 20) alloys can change from homogeneous phase to a composite structure consisting of amorphous phase plus clusters or nanocrystals by adjusting the Fe content.
Wei BC(魏炳忱) +6 more
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