Results 111 to 120 of about 1,759,415 (331)

Tupamaru (Fernando)

open access: yesEscritura y Pensamiento, 2021
Irma Alvarez Ccoscco
doaj   +1 more source

Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance

open access: yesApplied Sciences
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks.
Jana Backhus   +5 more
doaj   +1 more source

Biomimetic Iridescent Skin: Robust Prototissues Spontaneously Assembled from Photonic Protocells

open access: yesAdvanced Functional Materials, EarlyView.
Uniform nanoparticles are induced to form arrays (photonic crystals) in the cores of biopolymer capsules, endowing these ‘protocells’ with structural color. These protocells are then assembled into large self‐standing objects, i.e., prototissues, with robust mechanical properties as well as iridescent optical properties.
Medha Rath   +6 more
wiley   +1 more source

Evaluating the Historical Performance and Future Change in Extreme Precipitation Indices over the Missouri River Basin Based on NA-CORDEX Multimodel Ensemble

open access: yesAtmosphere
This study evaluates the performance of the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX) models in simulating the historical precipitation extremes and uses the best-performing model to project changes in extreme ...
Ifeanyi Chukwudi Achugbu   +3 more
doaj   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

open access: yesAdvanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons   +11 more
wiley   +1 more source

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu   +7 more
wiley   +1 more source

Self‐Immolative Activatable Nanoassembly toward Immuno‐Photodynamic Therapy in TME

open access: yesAdvanced Functional Materials, EarlyView.
A quinone methide‐gated, self‐immolative, H2O2‐responsive nano‐photosensitizer (Pyz/PS) is developed for targeted immuno‐photodynamic therapy. Pyz/PS selectively activates within tumor microenvironments, restores photosensitizer activity, generates ROS, and depletes intracellular GSH, enhancing oxidative stress.
Jing Li   +10 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced 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

Fluorescent Nanodiamonds Based Theranostic Platform for pH‐Sensitive Drug Delivery and Quantum Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu   +8 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

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