Results 121 to 130 of about 226,983 (292)

Radial Kernels Collocation Method for the Solution of Volterra Integro-Differential Equations

Science, Engineering and Technology
Radial kernel interpolation is an advanced method in approximation theory for the construction of higher order accurate interpolants for scattered data up to higher dimensional spaces. In this manuscript, we formulate a radial kernel collocation approach
Stephen Mkegh Nengem, Friday Haruna, Shalom Danjuma Bitrus   +2 more
doaj   +1 more source

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

Advanced 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, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +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

Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability

Advanced Functional Materials, EarlyView.
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao, He Li, Bui Duc Thuan, Weidong Chen, Qiang Zhu, Mounib Bahri, Boyu Li, Kexin Yu, Chengjun Kang, Ting Chen, Zekun Wang, Nigel D. Browning, Kian Jon Chua, Dan Zhao   +13 more
wiley   +1 more source

Boundedness and approximation of Hilbert-type operators in the Triebel–Lizorkin spaces: Applications to non-smooth volatility dynamics

AIMS Mathematics
This paper investigates the boundedness and approximation properties of Hilbert-type singular integral operators within the framework of Triebel–Lizorkin spaces $ F^{s}_{p, q}(\mathbb{R}) $, a refined class of function spaces central to microlocal and ...
Philip Ajibola Bankole, Mohsin Nasir, Manuel De la Sen, Sina Etemad   +3 more
doaj   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives

Advanced Functional Materials, EarlyView.
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva, Cédric Vancaeyzeele, Giao T.M. Nguyen, Daniel Aguilera‐Bulla, Mathieu Pinault, Frédéric Vidal, Cédric Plesse   +6 more
wiley   +1 more source