Results 91 to 100 of about 99,241 (260)

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

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 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

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

A Proline‐Integrated Donor–Acceptor Fluorophore: Water‐Vapor‐Responsive Mechanochromic Luminescence and Latent Fingerprint Visualization

Advanced Optical Materials, EarlyView.
A proline‐integrated donor–acceptor fluorophore enables multifunctional luminescence through rational molecular design. Water‐vapor‐responsive mechanochromic luminescence (MCL) with circularly polarized luminescence (CPL) switching and efficient visualization of latent fingerprints (LFPs) are realized from this single small organic molecule.
Hao Chen, Kazuki Kato, Yoshitane Imai, Suguru Ito   +3 more
wiley   +1 more source

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

Advanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam, Chan Y. Park, Min Seok Jang   +2 more
wiley   +1 more source

Latent profile analysis of empathy ability and its relationship with professional quality of life among hospice nurses in China

BMC Nursing
Background Empathy is important in hospice nursing clinics and may influence nurses’ professional quality of life (ProQOL). However, present studies ignoring each empathic dimension, and few researches have explored the correlation between empathy and ...
Yaling Wang, Chuntao Wang, Ziwei Yang, Yuezhong Tang, Wen Chen, Yawen Zheng, Zhiming Wei, Huiling Li   +7 more
doaj   +1 more source

Adaptation of Artificial Intelligence Literacy Scale: Latent Profile Analysis

Sakarya University Journal of Education
Artificial intelligence literacy is vital for individuals' adaptation to the future workforce and societal changes by enabling them to understand and effectively use AI technologies and critically evaluate their impact on society.
Mübin Kıyıcı, Mehmet Yıldız, Ali Kırksekiz, Metin Yıldız   +3 more
doaj   +1 more source