Results 51 to 60 of about 964 (198)

Semiconducting THO‐C3N Monolayers for Ultrahigh Anisotropic Carrier Mobility

Advanced Science, EarlyView.
A precise site‐specific N‐doping strategy that drives a secondary electronic transition in net W is proposed, enabling the electronic properties transition from metal to Dirac semimetal and ultimately to semiconductor. The obtained THO‐C3N‐2 and THO‐C3N‐3 semiconductors exhibit high carrier mobilities and pronounced mobility anisotropy, with THO‐C3N‐2 ...
Rui Tan, Xueqing Chen, Jifeng Luo, Zhe Xue, Zehou Li, Xiaolin Wei, Zhenkun Tang, Gaokuo Zhong   +7 more
wiley   +1 more source

On modulus of noncompact convexity for a strictly minimalizable measure of noncompactness

Gulf Journal of Mathematics, 2014
In this paper we consider modulus of noncompact convexity ΔX,φ associated with the strictly minimalizable measure of noncompactness φ. We also give some its properties and show its continuity on the interval [0, φ(BX)).
Rekic-Vukovic, Amra, Okicic, Nermin, Arandjelovic, Ivan   +2 more
openaire   +2 more sources

Highly Sensitive and Temperature‐Insensitive Stretchable Strain Sensor with Microcrack‐Engineered Architecture

Advanced Science, EarlyView.
This study proposes a stretchable strain sensor that demonstrates a high gauge factor of 2.3 × 104 and excellent linearity (R2 = 0.98), while maintaining temperature insensitivity under applied strain. This performance is achieved through a microcrack architecture formed by stacking a brittle, low‐resistance material with a stretchable, high‐resistance
Yu Kato, Kento Yamagishi, Kenjiro Fukuda, Takao Someya, Tomoyuki Yokota   +4 more
wiley   +1 more source

Properties of the modulus of continuity for monotonous convex functions and applications [PDF]

International Journal of Mathematics and Mathematical Sciences, 1992
For a monotone convex function f ∈ C[a, b] we prove that the modulus of continuity w(f; h) is concave on [a, b] as function of h. Applications to approximation theory are obtained.
openaire   +2 more sources

Ultrahigh‐Linear Bio‐Inspired Janus Elastomeric Strain Sensor with High Sensitivity and Stretchability via Surface Wrinkle Engineering

Advanced Science, EarlyView.
A bio‐inspired Micro‐wrinkled Janus elastomeric flexible strain sensor mimicking wrinkled‐leaf viburnum is developed. Endowed with a synergistic sensing mechanism including wrinkle‐guided microcracks, modulus‐gradient‐driven strain division, and a parallel conductive circuit, it achieves ultra‐high linearity, sensitivity, wide strain range, and ...
Jing Lin, Ye Li, Simi Yu, Xing Cheng, Longxin Qian, Yufei Chen, Womin Li, Zhipeng Yang, Yinlei Lin, Dechao Hu, Jianyi Luo, Lan Liu   +11 more
wiley   +1 more source

Emerging Advanced Electronic Packaging Materials for Thermal Management in Power Electronics

Advanced Science, EarlyView.
This review surveys emerging materials for thermal management in advanced electronic packaging, with emphasis on ceramic substrates and thermal interface materials. Multiscale simulations and mechanistic analyses are highlighted, alongside the emerging role of artificial intelligence in predicting thermal properties and guiding design, offering ...
Yongjun Huo, Jiaqi Song, Wenqian Li, Jian Zhang, Yujin Zhang, Yang Fu, Wangchao Yuan, Xin Chen, Sichen Liu, Miao Jiang, Yuan Cheng, Gang Zhang   +11 more
wiley   +1 more source

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source