Results 201 to 210 of about 184,148 (258)

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

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

Colloidal Phase Control in Plasmonic Metal Oxide Nanocrystals via Competitive Metal-Ligand Equilibria. [PDF]

open access: yesAngew Chem Int Ed Engl
Kang J   +9 more
europepmc   +1 more source

Neuroscience and Competitive Behavior

2022
Abstract Cognitive and social neuroscience may provide a wide range of neuroscientific tools and paradigms for the research on competitive behavior. Specifically, hyperscanning is a relatively new paradigm in neuroscience that involves capturing the brain activity of two or more participants engaged in a joint task, such as a competitive
Balconi, Michela, Angioletti, Laura
openaire   +1 more source

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