Results 141 to 150 of about 3,152,040 (308)

Controllability of Stochastic Evolution Equations Driven by Poisson Random Measure

, 2020
: In this paper, we investigated controllability of a stochastic partial equation driven by Poisson random measure. The stochastic equation was presented as a stochastic evolution equation which is an abstract formulation for stochastic partial equations.
Qingchu Xiao, Xiangfeng Yin
core  

Rational Control of Antibody Orientation for Enhancing Sensitivity and Specificity in Lateral Flow Immunoassays With Clinical Validation

Advanced Healthcare Materials, EarlyView.
Systematic investigation of antibody orientation strategies in lateral flow immunoassays reveals that a para‐substituted (aminomethyl)phenylboronic acid mediated probe (P‐6) combined with a biotin‐streptavidin test‐line modification achieves a synergistic 14‐ to 19‐fold sensitivity gain over conventional conjugation. Furthermore, multiplexed detection,
Pin‐Hao Wang, Shunmuga Nathan Shunmuga Nainar, Bing‐Han Zhuang, Shun‐Mao Yang, Hong‐Cheu Lin, Yang‐Hsiang Chan   +5 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

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

Dissipativity and Stability for Stochastic Non-Integer-Order Memristive BAM System with Leakage Terms and Mixed Delays

Fractal and Fractional
This paper is concerned with the problems of mean-square global dissipativity and global asymptotic stability for a class of stochastic fractional-order memristive BAM neural networks with leakage terms and mixed time-varying delays, including discrete ...
Weide Liu, Jiaxin Cheng, Hongfu Wang
doaj   +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

A counter-intuitive low entanglement percolation threshold in mixed-state quantum networks

Communications Physics
Understanding entanglement percolation across quantum networks (QNs) has been a persistent challenge. Concurrence percolation theory (ConPT) provides a statistical-physics framework for this, drawing parallels between entanglement measure (concurrence ...
Haigang Wang, Omar Malik, Jinchuan Hou, Yongtao Zhang, Kan He, Xiangyi Meng   +5 more
doaj   +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

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source