Results 51 to 60 of about 17,783 (227)
Double Helical Plasmonic Antennas
Advanced Functional Materials, EarlyView.Plasmonic double helical antennas funnel circularly polarized light to the nanoscale, offering strong chiroptical interaction and directional light emission. Extending a single helix design tool, this study combines numerical modeling with experimental validation, revealing large, broadband dissymmetry factors in the visible range.
Aleksei Tsarapkin +7 more
wiley +1 more source
Finite Element Analysis Using a Cosserat Linear Elastic Continuum
Tecnura, 2017 Contexto: Los resultados experimentales en materiales granulares muestran que el comportamiento esfuerzo deformación tiene dependencia con la escala de análisis, sin embargo, debido a las supocisiones intrínsecas que tiene la mecánica del medio continuo,
Alfonso Mariano Ramos-Cañón +2 more
doaj
Evaluación física y mecánica de mezclas fresado y base granular para su empleo como agregados en la conformación de bases estabilizadas de pavimentos flexibles [PDF]
, 2019 Trabajo de InvestigaciónEl presente trabajo tiene como fin evaluar propiedades físicas y mecánicas que pueden verse afectadas al reemplazar un porcentaje de material virgen por pavimento reciclado (RAP) en un base granular convencional.
Duitama-Sánchez, Jennifer Dayann +1 more
core
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced 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
Sensitivity analysis in the flexible pavement desing from the drainage coefficient [PDF]
, 2017 19 páginas : gráficos.Este documento tuvo por objetivo determinar la sensibilidad en el diseño de una estructura de pavimento flexible a partir de la variación del coeficiente de drenaje, para un proyecto vial en la Ciudad de Cartagena Colombia.
González Mayorga, William Fernando
core
Elasticidad en materiales granulares
, 2000 En este trabajo se estudia el comportamiento elástico de compactos de polvos metálicos. Para ello, se han preparado probetas cilíndricas y se han sometido a ensayos de compresión uniaxial con ciclos de carga y descarga. El análisis de las cargas elásticas muestra una elasticidad no lineal, que puede representarse matemáticamente por medio de una ley ...
Riera Colom, María Dolores +1 more
openaire +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Advanced Functional Materials, EarlyView.Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
Advanced Functional Materials, EarlyView.A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source