Results 131 to 140 of about 7,699,774 (306)

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

Advanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng, Peng Zhang, Gang Qiu, Ting‐Hsun Yang, Chang Niu, Yaochen Li, Wenqiang Cui, Yang Feng, Peide D. Ye, Ke He, Kai Chang, Kang L. Wang   +11 more
wiley   +1 more source

Stochastic Model of Bed-load Transport in Mountain Rivers:Theory and Applications

工程科学与技术, 2013
:Bed-load transport process over steep slope is of large fluctuations.This kind of fluctuation widely exists over different time scales.Due to this random behavior,the stochastic model can make a better performance on the description of bed-load ...
马宏博, Mettra Francois, Heyman Joris, Ancey Christophe, 傅旭东   +4 more
doaj  

Stochastic models of nucleosome dynamics reveal regulatory rules of stimulus-induced epigenome remodeling. [PDF]

Cell Rep, 2022
Kim J, Sheu KM, Cheng QJ, Hoffmann A, Enciso G.   +4 more
europepmc   +1 more source

Thermal‐Driven Diode Polarity Switching From Competing Helical Superconducting States in WTe2/α‐Fe2O3 Heterostructures

Advanced Materials, EarlyView.
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang, Grant Z. X. Yang, Zi‐Ting Sun, Xinhou Chen, Shishun Zhao, Chufan Chen, Chenhui Zhang, Fanrui Hu, K. T. Law, Hyunsoo Yang   +9 more
wiley   +1 more source

Necessity of the Transversality Condition for Stochastic Models with Bounded or CRRA Utility [PDF]

This paper shows that the standard transversality condition (STVC) is nec-essary for optimality in stochastic models with bounded or constant-relative-risk- aversion (CRRA) utility under fairly general conditions.
Takashi Kamihigashi
core  

STOCHASTIC MODELS OF SOME PROPERTIES OF WASTE WATER IN THE MAAMERA SEWAGE TREATMENT PLANT

Al-Qadisiyah Journal for Engineering Science, 2015
The records of influents concentration for both BOD5 and TSS of Maamera sewage treatment plant which were chosen of this study are very important parameters, They play an important part in the planing and management of the national water resources.
Nabaa Shakir Hadi
doaj  

A Stochastic Model Based on Optimal Satellite Subset Selection Strategy for Smartphone Pseudorange Relative Positioning

Sensors
In order to overcome the limitations of traditional stochastic models for smartphones, we introduce a double-difference code pseudorange residual (DDPR)-dependent stochastic model based on an optimal satellite subset, with the goal of mitigating the ...
Jian Deng, Huayin Wang, Shuen Wei, Aiguo Zhang   +3 more
doaj   +1 more source

Stochastic models of routing strategies under the class-based storage policy in fishbone layout warehouses. [PDF]

Sci Rep, 2022
Zhou L, Zhao J, Liu H, Wang F, Yang J, Wang S.   +5 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source