Results 191 to 200 of about 174,420 (237)

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries. [PDF]

Front Artif Intell
Rakotomalala C, Paillat JM, Feder F, Avadí A, Thuriès L, Vermeire ML, Médoc JM, Wassenaar T, Hottelart C, Kieffer L, Ndjie E, Picart M, Tchamgoue J, Tulle A, Valade L, Boyer A, Duchamp MC, Roche M.   +17 more
europepmc   +1 more source

Host‐Guest Inclusion Chemistry From Supramolecular Architecture Enabling Anti‐Biofouling Surfaces for Oesophagus Stents

Advanced Functional Materials, EarlyView.
A slippery coating with exceptional anti‐biofouling performance is developed using biocompatible materials for oesophagus stents. Host‐guest inclusion complex formation capabilities of FDA‐approved supramolecules, cyclodextrins are exploited, which significantly enhances the stability of the surface.
Jianhui Zhang, Haowei Wang, Sourabh Dogra, Xiaoye Zhao, Wenqing Chen, Arpan Gupta, Manish K. Tiwari, Vikramjeet Singh   +7 more
wiley   +1 more source

Relating Structural and Optical Properties of Organic Thin Films on Chemically Inert Substrates. [PDF]

ACS Omega
Kainbacher N, Puschnig P, Hofmann OT.
europepmc   +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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The Potential Release of Chemicals from Crumb Rubber Infill Material-A Literature Review. [PDF]

J Xenobiot
Ghelli F, El Sherbiny S, Squillacioti G, Colombi N, Bellisario V, Bono R.   +5 more
europepmc   +1 more source

Destination Website Advertising Effectiveness: A Comparison Between Paid and Organic Search

, 2016
Sukjoon Yoon, Eun Yeon Kang, James F. Petrick   +2 more
openalex   +1 more source

Interpretive search of optimal isocratic and gradient separations in micellar liquid chromatography in extended organic solvent domains

, 2019
J.A. Navarro-Huerta, A.G. Vargas-García, J.R. Torres‐Lapasió, M.C. García‐Álvarez‐Coque   +3 more
openalex   +2 more sources

Siloxane‐Functionalized Silicon Phthalocyanine OTFTs: High Hole Mobility and Unexpected p‐Type Character

Advanced Functional Materials, EarlyView.
In this paper, the first use of a siloxane‐substituted silicon phthalocyanine (iso(Si3O)2SiPc) in OTFTs is reported. Moreover, this compound displays the highest hole mobility (exceeding 1 cm2 V−1 s−1) ever recorded for SiPc, and the GIWAXS study reveals thin films with an exceptionally uniform crystalline texture.
Nicolas Ledos, Halynne R. Lamontagne, Joseph Manion, Frédéric Castet, Benoît H. Lessard, Jaclyn L. Brusso   +5 more
wiley   +1 more source