Results 131 to 140 of about 47,969 (301)

Optical Control of the Thermal Conductivity in BaTiO3

Advanced Functional Materials, EarlyView.
Light‐driven manipulation of thermal conductivity in archetypal ferroelectric, BaTiO3, offers a novel and effective approach for the dynamical control of the heat flux, with potential applications in thermal management and phonon‐based logic. Abstract Achieving dynamic control over thermal conductivity remains a formidable challenge in condensed matter
Claudio Cazorla, Carlos Escorihuela‐Sayalero, Jesús Carrete, Jorge Íñiguez‐González, Riccardo Rurali   +4 more
wiley   +1 more source

High Thermoelectric Performance in Low‐Cost Cu8SiSxSe6‐x Argyrodite

Advanced Functional Materials, EarlyView.
This study discovers the great potential of Cu8SiSxSe6‐x argyrodites as new, low‐cost, Te‐free thermoelectric materials. The proposed defect scheme suppresses the phase transition, enhances the weighted mobility and optimizes the grain boundary contacts.
Taras Parashchuk, Oleksandr Cherniushok, Bartlomiej Wiendlocha, Janusz Tobola, Raúl Cardoso‐Gil, G. Jeffrey Snyder, Yuri Grin, Krzysztof T. Wojciechowski   +7 more
wiley   +1 more source

Generalized estimating equations and generalized linear mixed‐effects models for modelling resource selection [PDF]

, 2009
Nicola Koper, Micheline Manseau
openalex   +1 more source

Supercompliant Lattice Boosts n‐type AgSbTe2 Thermoelectrics

Advanced Functional Materials, EarlyView.
The supercompliant lattice design enables the first realization of n‐type electrical transport in AgSbTe2 by overcoming intrinsic electron‐killer defects and exceeding the doping limits imposed by the conventional Hume–Rothery rule. Accordingly, the best performance n‐type Ag0.8Na0.3Sb0.6Bi0.4Te2 sample achieves a low κ of 0.27 W·m−1·K−1 that ...
Ruoyan Li, Shuai Han, Chunyu Zhang, Suyao Liu, Wen Yin, Yuanguang Xia, Pengfei Liu, Zhen‐Hua Ge, Dongyao Zhao, Bingchao Yang, Lulu Huang, Zhi Zhang, Yongsheng Zhang, Yuan Yu, Bangzhi Ge, Chongjian Zhou   +15 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

Some efficiency comparisons for estimators from quasi-likelihood and generalized estimating equations

, 2003
Shuangzhe Liu, C. C. Heyde
openalex   +1 more source

Comparison of Generalized Estimating Equations and Quadratic Inference Functions in superior versus inferior Ahmed Glaucoma Valve implantation

Journal of Research in Medical Sciences, 2011
Background: The celebrated generalized estimating equations (GEE) approach is often used in longitudinal data analysis While this method behaves robustly against misspecification of the working correlation structure, it has some limitations on efficacy ...
Razieh Khajeh-Kazemi, Banafsheh Golestan, Kazem Mohammad, Mahmoud Mahmoudi, Saharnaz Nedjat, Mohammad Pakravan   +5 more
doaj  

Vanadium Doped Magnetic MoS2 Monolayers of Improved Electrical Conductivity as Spin‐Orbit Torque Layer

Advanced Functional Materials, EarlyView.
Electrically conductive and room temperature magnetic atomically thin (≈0.8 nm) vanadium doped MoS2 (V‐MoS2) is demonstrated for its spintronic applications. Here, the spin transport at the interface of permalloy (Py) and high spin‐orbit coupling V‐MoS2 magnetic monolayers is shown.
Krishna Rani Sahoo, Manoj Talluri, Dipak Maity, Suman Mundlia, Ashique Lal, M. S. Devapriya, Arabinda Haldar, Chandrasekhar Murapaka, Tharangattu N. Narayanan   +8 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Cutpoint selection for discretizing a continuous covariate for generalized estimating equations [PDF]

, 2010
Gisela Tunes da Silva, John P. Klein
openalex   +1 more source