Results 181 to 190 of about 6,904,652 (331)

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory [PDF]

open access: gold, 2016
Chien‐Hung Huang   +4 more
openalex   +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

Toolbox Graph Theory

open access: yesHarvard Data Science Review, 2018
doaj   +1 more source

On-line Ramsey Theory for Bounded Degree Graphs [PDF]

open access: diamond, 2011
Jane Butterfield   +5 more
openalex   +1 more source

Multifunctional Protein Eutectogels Based on Polyphenolic: Zwitterionic Low‐Transition‐Temperature Mixtures

open access: yesAdvanced Functional Materials, EarlyView.
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña   +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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