Results 221 to 230 of about 2,834,111 (323)
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng+7 more
wiley +1 more source
Consolidation analysis of soft ground with air-boosted vacuum preloading considering attenuation of vacuum and boost pressure. [PDF]
Gao W, Han L, Zhao Y, Sun J, Liu L.
europepmc +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source
Dynamic behavior of solitons in nonlinear Schrödinger equations. [PDF]
Khater MMA, Alfalqi SH, Vokhmintsev A.
europepmc +1 more source
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Angle-Dependent Adhesive Mechanics in Hard-Soft Cylindrical Material Interfaces. [PDF]
Pham TH, Lyashenko IA, Popov VL.
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Quantum Exact Response Theory Based on the Dissipation Function. [PDF]
Greppi E, Rondoni L.
europepmc +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur+5 more
wiley +1 more source
A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation, compaction and diagenesis. [PDF]
Ling B, Du X, Du S, Yang F.
europepmc +1 more source