Results 131 to 140 of about 102,188 (231)

Dimensional Engineering of Carbon‐Based Hybrids: From 1D Conductive Networks to 3D Porous Architectures for Next‐Generation Microwave Absorption

Advanced Science, EarlyView.
This review explores dimensional architecture engineering to overcome the impedance‐attenuation trade‐off in electromagnetic wave absorbing materials. By analyzing 1D to 3D structures and their multidimensional hybrids, we highlight synergistic mechanisms for enhanced performance.
Chuanyu Liu, Xiaoxin Guo, Xunlong Zhang, Ruiling Sun, Xingyu Zhang, Can Ge, Xuhong Yang, Yuqing Liu   +7 more
wiley   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Community-led standards for global wastewater-based infectious disease surveillance. [PDF]

PLOS Glob Public Health
Smith EA, Ahmadi Jeshvaghane M, Pilz DA, Shitindo M, Costa da Silva J, Gable L, Brown K, Calvert-Joshua T, Diedericks F, Ünal G, Paull JS, Shukla NB, Muhammad Z, Amofa JO, Liu EJ, Griffiths EJ, Landgraff C, Guerfali FZ, Tiffin N, Levy JI, Public Health Alliance for Genomic Epidemiology (PHA4GE) Wastewater Surveillance Working Group.   +20 more
europepmc   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source

Insights and Recommendations From Moderators and Community Members for Keeping Online Peer Support Safe: Thematic Analysis. [PDF]

J Med Internet Res
Jones HG, Lavelle G, Aylwin-Foster E, Regan C, Simpson A, Carr E, Hotopf M, Lawrence V.   +7 more
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Climate Change and Extreme Weather Event Adaptations for Individuals With Dementia: A Systematic Review. [PDF]

Brain Behav
Alvarez A, Rafiq S, Chen C.
europepmc   +1 more source

Orbital and Electrical Dual Function of Polymer Intercalant for Promoting NH4+ Storage in Vanadium Oxide Anode

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The impact of polyaniline insertion on the atomic orbitals and electronic structure of vanadium oxide anode is systematically investigated for the first time. The electrode exhibits an outstanding capacity and unprecedent long‐term cycling life, owing to the electron transition to the V 3dxy state and the enhanced diffusion kinetics.
Yue Zhang, Zihang Huang, Lei Lei, Hua Fan, Xu Han, Hui Li, Tianyi Ma   +6 more
wiley   +1 more source

A standardized workflow for kinetic metabolic model curation and dissemination. [PDF]

PLoS Comput Biol
Cook M, Anastasakis S, Heydarabadipour A, Shin J, Burbano DA, Carothers JM, Sauro HM.   +6 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source