Results 91 to 100 of about 48,842 (252)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models

Structural Equation Modeling: A Multidisciplinary Journal
Supplemental Materials for a Manuscript Titled: "A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models"
Sarah Depaoli, Ihnwhi Heo, Madelin Jauregui, Haiyan Liu, Fan Jia   +4 more
openaire   +1 more source

Additive Manufacturing of Ordered Polymer Nanostructures

Advanced Materials, EarlyView.
A new 3D printing strategy, Polymerization‐Induced Arrangement of Nanostructures with Order‐tunability (PIANO), enables the formation of ordered nanostructures in polymer materials by enhancing chain mobility during photopolymerization, overcoming the kinetic arrest that leads to disordered morphologies in the conventional Polymerization‐Induced ...
Di Wu, Kun Zhou, Kenny Lee, Yuan Xiu, Carol Hiu Wai Yan, Khoon S. Lim, Cyrille Boyer   +6 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Digitalization Paths, Heterogeneity and Productivity Growth —A Hidden Classes Linear Mixed Model Approach

Journal of Applied Science and Engineering
From the perspective of digital transformation trajectory, the Latent Class Linear Mixed Model (LCLMM) was first applied in the field of enterprise management.
Shanshan Wang, Ruitong Zhao, Guoming Hao, Yechen Cui   +3 more
doaj   +1 more source

A Reproducible and Scalable Process for High Yield Mesenchymal Stromal Cell Extracellular Vesicles Production

Advanced Materials Technologies, EarlyView.
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong, Elise Madec, Jeanne Volatron, Max Piffoux, Amanda K. A. Silva, Florence Gazeau, Jean‐Philippe Herbeuval, Thibaut Fourniols   +7 more
wiley   +1 more source

Association between social capital and trajectories of cognitive function among Chinese older adults

BMC Public Health
Background The association between social capital and trajectories of cognitive function (CF) is still unclear among older adults in mainland China. The present study aims to examine the association using a longitudinal cohort from the Ningxia Healthy ...
Mengyun Xiong, Zhaojing Wen, Wanrui Ma, Xue Hu, Yan Tong, Zhizhong Wang   +5 more
doaj   +1 more source