Results 171 to 180 of about 26,940 (243)

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

Advanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li, Zhenyu Li, Jinshui Yang, Jianhao Wu, Yidan Chen, Linzhi Wu, Hong Hu, Penglin Gao, Yegao Qu   +8 more
wiley   +1 more source

Folic Acid Fortification and Neural Tube Defect Risk: Analysis of the Food Fortification Initiative Dataset. [PDF]

Nutrients, 2020
Murphy ME, Westmark CJ.
europepmc   +1 more source

Molecular Sieve Promoted Growth of Ferroelectric Trilayer 3R‐MoS2 for Polarization‐Dependent Reconfigurable Optoelectronic Synapses

Advanced Science, EarlyView.
The noncentrosymmetric trilayer rhombohedral‐stacked MoS2 nanoflakes with enhanced sliding ferroelectric properties are synthesized via a molecular sieve‐assisted chemical vapor deposition process. The switchable polarization states, combined with the exceptional light/gate voltage modulated electrical properties of these nanoflakes, enable broadband ...
Qichao Xue, Jincheng Zhang, Yuying Wang, Yu Wang, Kuiwei Li, Yuxuan Chen, Fang Zhong, Qing Li, Ning Zhou, Chenying Yang, Yuchuan Shao, Tao Liang   +11 more
wiley   +1 more source

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

Advanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

Rubinstein-Taybi syndrome 2 with cerebellar abnormality and neural tube defect. [PDF]

Clin Dysmorphol, 2019
Hadzsiev K, Gyorsok Z, Till A, Czakó M, Bartsch O.   +4 more
europepmc   +1 more source

Reduced Variability in Threshold Switches Using Heterostructures of SiOx and Vertically Aligned MoS2

Advanced Electronic Materials, EarlyView.
Heterostructures of SiOx and vertically aligned MoS2 exhibit reliable threshold switching by guiding Ag ion migration through van der Waals gaps. Compared to SiOx‐only devices, these heterostructures demonstrate higher switching voltages, faster switching speeds, and reduced variability.
Jimin Lee, Rana Walied Ahmad, Sofía Cruces, Dennis Braun, Lukas Völkel, Ke Ran, Joachim Mayer, Stephan Menzel, Alwin Daus, Max C. Lemme   +9 more
wiley   +1 more source

Red Blood Cell Folate Likely Overestimated in Australian National Survey: Implications for Neural Tube Defect Risk. [PDF]

Nutrients, 2020
Hunt SE, Netting MJ, Sullivan TR, Best KP, Houghton LA, Makrides M, Muhlhausler BS, Green TJ.   +7 more
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source