Results 111 to 120 of about 281,512 (252)

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

A response to Poisot et al.: Publishing your dataset is not always virtuous

Ideas in Ecology and Evolution, 2013
n ...
Angela Moles, John B. Dickie, Habacuc Flores-Moreno   +2 more
doaj  

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Unraveling the Mg Loss Mechanism and Degradation Kinetics in Thermoelectric n‐Type Mg2Si‐Mg2Sn Solid Solutions

Advanced Functional Materials, EarlyView.
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla, Eckhard Mueller, Johannes de Boor   +2 more
wiley   +1 more source

Membrane Wrapping for High Capacity and Rapidly Switchable Adhesives

Advanced Functional Materials, EarlyView.
A membrane‐wrapping mechanism enables high‐capacity, rapidly switchable adhesion by coupling suction, friction, and adhesion. Broadband performance is achieved in dry and underwater conditions, allowing fast, reversible manipulation of objects of diverse sizes and shapes, from delicate eggs and berries to flat, complex, or heavy objects. These outcomes
Yeunhee Kim, Camryn A. Mills, Michael D. Bartlett   +2 more
wiley   +1 more source

A data citation roadmap for scientific publishers. [PDF]

Sci Data, 2018
Cousijn H, Kenall A, Ganley E, Harrison M, Kernohan D, Lemberger T, Murphy F, Polischuk P, Taylor S, Martone M, Clark T.   +10 more
europepmc   +1 more source

Infrared Nanocrystals for Space Application: Hardness to Irradiations

Advanced Functional Materials, EarlyView.
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret, Dario Mastrippolito, Bingbing Xia, Adrien Khalili, Maxime Lebreton, Giorgia Strobbia, Albin Colle, Marco Paye, Mariarosa Cavallo, Erwan Bossavit, Claire Abadie, Yoann Prado, Debora Pierucci, Victor Parahyba, Francois Coursaget, David Darson, Emrick Briand, Ian Vickridge, Stephane Demiguel, Sebastien Massenot, Jean‐Marc Belloir, Vincent Goiffon, Emmanuel Lhuillier   +22 more
wiley   +1 more source

Citation and Peer Review of Data: Moving Towards Formal Data Publication

International Journal of Digital Curation, 2011
This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets.
Bryan Lawrence, Catherine Jones, Brian Matthews, Sam Pepler, Sarah Callaghan   +4 more
doaj   +2 more sources

Dear Reader: Data citation in changing times. [PDF]

Brain Pathol, 2019
Glatzel M, Love S.
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source