Results 101 to 110 of about 65,201 (238)

Manipulating Atomic Disorder and Mesoscale Architectures for High‐Efficiency Thermoelectric Modules

Advanced Science, EarlyView.
The in situ reaction of PbTiO3 precursor reacts in situ with the Bi0.5Sb1.5Te3 matrix, effectively enlarging the energy barrier for minority carrier excitation and suppressing bipolar diffusion, and predominantly scattering mid‐to‐low frequency phonons. Ultimately, a single thermoelectric module was fabricated to achieve a competitive efficiency of ∼7%
Jiwu Xin, Bo Wang, Chengyun Xu, Wang Li, Pengyu Zhang, Dongwang Yang, Yongke Wang, Jinfeng Dong, Lei Wei, Ting Zhang, Qinghui Jiang   +10 more
wiley   +1 more source

Generalized empirical likelihood tests in time series models with potential identification failure [PDF]

We introduce test statistics based on generalized empirical likelihood methods that can be used to test simple hypotheses involving the unknown parameter vector in moment condition time series models.
Patrik Guggenberger, Richard Smith
core  

Heterointerface‑Enabled Electrocatalysis for Efficient Energy Conversion

Advanced Science, EarlyView.
Functionally distinct A/B materials can be integrated at the nanoscale to create customized heterointerfaces with tunable band alignment and charge redistribution, providing fast electron and ion transport channels as well as cooperative dual active sites.
Liuru Fang, Hsiwen Wu, Hengyue Xu, Jie Zhang   +3 more
wiley   +1 more source

Bioinspired Morphology‐Decoupled Soft Gripper with Enhanced Bidirectional Grasping Capability

Advanced Science, EarlyView.
Inspired by biological predation, a novel gripper decouples cross‐modal grasping via dual morphological configurations. Synergistically integrating hybrid rigid and soft coupled fingers with a metamaterial palm, the system performs active compliant grasping for static objects and passive cage capture for dynamic targets.
Yedong Huang, Dazhong Yu, Baijin Mao, Fangming Li, Juntian Qu   +4 more
wiley   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

Bioinspired Interfacial Hydration Engineering via Metal–Organic Frameworks for Efficient Nitrate‐To‐Ammonia Conversion in Neutral Media

Advanced Science, EarlyView.
Inspired by Nitrite reductase, a metal–organic framework overlayer is introduced to regulate the interfacial hydration microenvironment on Cu electrodes, enriching hydrated K+ species that act as efficient proton donors. This strategy enables nitrate‐to‐ammonia conversion with near‐unity selectivity at industrial‐level current densities in neutral ...
Yuyin Mao, Minghui Zhang, Xiangdong Xue, Chengyu Guo, Jian Liu   +4 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Does the Frequency of Fog Affect the Structural Properties of Fagus orientalis in the Hyrcanian Forest? [PDF]

بوم‌شناسی جنگل‌های ایران
Extended Abstract Background: Oriental beech (Fagus orientalis Lipsky) is one of the well-known industrial species of Hyrcanian forests that spreads from the west to east of these forests.
Seyedeh Fatemeh Hosseini, Hamid Jalilvand, Asghar Fallah, Hamed Asadi, Mahya Tafazoli   +4 more
doaj  

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source