Results 101 to 110 of about 93,727,230 (258)

Bio‐Inspired Gradient Heterogeneous Architectures for Ultrasensitive and Robust Strain Sensors via Programmable Crack Engineering

Advanced Science, EarlyView.
Inspired by the insect campaniform sensillum, a heterogeneous bilayer strain sensor is developed based on a unique impedance mismatch and three‐dimensional structural dynamic percolation strategy. The sensor enables real‐time multi‐joint teleoperation of three joints and the gripper using a six‐degree‐of‐freedom robotic‐arm platform.
Qi Wu, Tiantong Wang, Yinhao Wang, Yanggang Feng, Yan Huang   +4 more
wiley   +1 more source

Nash Equilibrium and Robust Stability in Dynamic Games: A Small-Gain Perspective [PDF]

This paper develops a novel methodology to study robust stability properties of Nash equilibrium points in dynamic games. Small-gain techniques in modern mathematical control theory are used for the first time to derive conditions guaranteeing uniqueness
Jiang, Zhong-Ping, Athanasiou, George, Karafyllis, Iasson   +2 more
core  

LAPTM5 Downregulation‐Driven VAMP8 Phosphorylation Impairs Autophagosome‐Lysosome Fusion and Aggravates Septic Acute Lung Injury

Advanced Science, EarlyView.
LAPTM5 functions as a critical molecular scaffold bridging PGAM5 and VAMP to facilitate PGAM5‐mediated dephosphorylation of VAMP8. This cascade promotes autophagosome‐lysosome fusion, restores impaired autophagic flux, and clears damaged mitochondria, thereby mitigating cellular oxidative stress and systemic inflammation.
Lang Jiang, Qilan Li, Hao Liu, Xuehui Gao, Hongyu Nie, Lang Chen, Mei He, Xuefeng Li, Xiangming Fang, Jiqian Xu, Hao Zhang, Jiahong Xia, You Shang   +12 more
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Input-to-state stability of a class of descriptor systems

, 2014
This paper studies the input-to-state stability (ISS) of descriptor systems with exogenous disturbances. on the basis of the ISS theory of standard state-space nonlinear systems, a sufficient condition for a class of nonlinear descriptor system to be ISS
Huang, S, Zhang, Q, Zhou, J, Men, B
core   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Predictor-Based Fault-Tolerant Sliding-Mode Control for Nonlinear Input-Delayed Systems With State Uncertainties and Sensor Fault

Journal of Electrical and Computer Engineering
This paper proposes an unified predictor-based sliding-mode control (SMC) architecture tolerant to sensor bias for nonlinear input-delayed systems. The approach integrates predictor feedback for delay compensation and an unknown-input observer (UIO) for ...
Adel Tellili, Makhlouf Laakam, Walid Ben Hassen, Tayssir Abdelkrim, Nouceyba Abdelkrim   +4 more
doaj   +1 more source

A note on the robustness of input-to-state stability.

, 2001
Develops a unified framework for studying robustness of the input-to-state stability (ISS) property and presents new results on robustness of ISS to slowly varying parameters, to rapidly varying signals, and to generalized singular ...
NESIC, D, Moreau, L, Moreau, Luc, TEEL, AR   +3 more
core   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source