Results 81 to 90 of about 592,781 (317)

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

open access: yesAdvanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker   +5 more
wiley   +1 more source

Estimation of Degree of Polarization in Low Light Using Truncated Poisson Distribution [PDF]

open access: gold, 2022
Marcos Aviñoá   +4 more
openalex   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

open access: yesAdvanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato   +9 more
wiley   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

open access: yesAdvanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa   +5 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Forecasting Frequency of Delivery using Poisson Hidden Markov Models

open access: yesمجله اپیدمیولوژی ایران, 2018
Background and Objectives: Delivery is one of the most important services in the health systems, and increasing its effectiveness and efficiency are a health priorities.
S Ghorbani Gholiabad   +3 more
doaj  

Stochastic oscillations of a dynamical system in the case of a normal and Poisson distribution of a random coefficient

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки, 2021
Background. Equations with random coefficients serve as a mathematical model for a number of problems that arise in practice. The solution, in this case, will be a stochastic process. Its dependence on nondeterministic parameters is interesting.
M.M. Borovikova
doaj   +1 more source

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy