Results 81 to 90 of about 1,005,483 (248)

Distribution of Electrical Resistivity in Single Carbon Fiber Filaments and Its Correlation With Tensile Modulus

Advanced Engineering Materials, EarlyView.
A statistical framework is applied to quantify the distribution of electrical resistivity among individual filaments of two commercially available carbon fiber types. Correlations between filament resistivity, tensile modulus, and diameter are examined and complemented by TEM analysis to provide new insight into filament‐level variability relevant for ...
Nils Wieja, Daniel Sebastian Wolz, Philip Johannes Steinbild, Markus Löffler, Darius Pohl, Jan Wolf, Anja Winkler, Thomas Behnisch, Bernd Rellinghaus, Maik Gude   +9 more
wiley   +1 more source

Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN

Sakarya University Journal of Computer and Information Sciences
Chaotic systems are identified as nonlinear, deterministic dynamic systems that are exhibit sensitive to initial values. Some chaotic equations modeled from daily events involve time information and generate chaotic time series that are sequential data ...
Osman Eldoğan, Gülyeter Öztürk
doaj   +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

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

Advanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra, Shuvaraj Ghosh, Malkeshkumar Patel, Sourov Hossain, Ju‐Hyung Yun, Joondong Kim   +5 more
wiley   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Protein expression of cancer stem cell markers ABCG2, podoplanin, and CD44 predicts early recurrence of oral squamous cell carcinoma: A study from Western India

Indian Journal of Pathology and Microbiology
Objectives: For oral squamous cell carcinoma (OSCC), we are likely at a juncture in clinical management, where the benefits of therapies are beginning to plateau.
Trupti I. Trivedi, Toral H. Mandaliya, Priti P. Trivedi   +2 more
doaj   +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

Assessment of physico-biochemical parameters of Moroccan loquat (Eriobotrya japonica Lindl.) genotypes using multivariate analysis

Journal of Horticultural Sciences
The present study was conducted to assess the physico-biochemical variability in 35 genotypes of loquat using multivariate analyses, in order to provide efficient criteria and promising genotypes for the loquat genetic breeding program.
G Kabiri, O Kodad, F Hernandez, F Lachkham, H Hanine   +4 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source