Results 91 to 100 of about 2,206,964 (375)
, 2015 We have determined the lattice dynamics of MgSiO$_3$ perovskite (bridgmanite) by a combination of single-crystal inelastic x-ray scattering and ab initio calculations.
Alessandro Mirone +13 more
core +4 more sources
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Advanced Engineering Materials, EarlyView.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
A physico-mechanical approach to analyzing nonlinear elasticity in sewing machine conical springs [PDF]
EPJ Web of ConferencesThis study presents an innovative approach to addressing vibration issues in sewing machines used in the light industry. The research focuses on the experimental analysis of a novel conical spring mechanism designed to enhance shock absorption in the ...
Mavlonova Iroda +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.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
Rayleigh surface waves of extremal elastic materials [PDF]
J. Mech. Phys. Solids, 193(105842), 2024Extremal elastic materials here refer to a specific class of elastic materials whose elastic matrices exhibit one or more zero eigenvalues, resulting in soft deformation modes that, in principle, cost no energy. They can be approximated through artificially designed solid microstructures.
arxiv +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.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
JPFT (Jurnal Pendidikan Fisika dan Teknologi), 2017 This study is aimed todetermine the effect ofÃÂ guided-inqury learning model combined with the experimental method on physics learning outcomes grade XI IPA inÃÂ SMAN 2 Mataram of academic year 2016/2017.
Roni Wahyuni +2 more
doaj +1 more source
Shear wave velocity prediction based on deep neural network and theoretical rock physics modeling
Frontiers in Earth Science, 2023 Shear wave velocity plays an important role in both reservoir prediction and pre-stack inversion. However, the current deep learning-based shear wave velocity prediction methods have certain limitations, including lack of training dataset, poor model ...
Gang Feng +4 more
doaj +1 more source
Glassy trapping of manifolds in nonpotential random flows
, 1997 We study the dynamics of polymers and elastic manifolds in non potential static random flows. We find that barriers are generated from combined effects of elasticity, disorder and thermal fluctuations.
A. J. Bray +20 more
core +1 more source
Advanced Engineering Materials, EarlyView.The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch +4 more
wiley +1 more source