Results 61 to 70 of about 11,998 (267)
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
The integration of renewable energy into the grid has led to problems such as low utilization rate of energy storage resources (“underutilization after construction”) and insufficient system stability.
Chang Su +3 more
doaj +1 more source
Preference-balancing motion planning under stochastic disturbances
Physical stochastic disturbances, such as wind, often affect the motion of robots that perform complex tasks in real-world conditions. These disturbances pose a control challenge because resulting drift induces uncertainty and changes in the robot's speed and direction.
Aleksandra Faust +2 more
openaire +2 more sources
Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles
Tunable microwave components ‐ essential for wireless technology ‐ typically require costly, customized nanofabrication. We show that ambient spin texture ensembles (e.g., magnetic skyrmions) in chiral multilayer films can enable reconfigurable microwave resonators.
T. S. Suraj +9 more
wiley +1 more source
Rethinking Extracellular Vesicle Signaling
Extracellular vesicles enable cell communication beyond intracellular cargo delivery. This perspective highlights two plausible surface‐based signaling modes: “bind‐and‐stay” and “bind‐and‐leave.” Transient binding to multiple cells challenges the one‐vesicle‐one‐cell model.
Wojciech Chrzanowski, Joy Wolfram
wiley +1 more source
Finite-Time Stabilization of Stochastic Nonholonomic Systems and Its Application to Mobile Robot
This paper investigates the problem of finite-time stabilization for a class of stochastic nonholonomic systems in chained form. By using stochastic finite-time stability theorem and the method of adding a power integrator, a recursive controller design ...
Fangzheng Gao, Fushun Yuan
doaj +1 more source
Generative Models for Crystalline Materials
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
The study proposes an adaptive Linear Quadratic (LQ) optimal regulator for discrete-time linear systems in the presence of stochastic disturbances through policy iteration with Actor/Critic structure.
Vina Putri Virgiani +2 more
doaj +1 more source
Adaptive neural tracking control for near-space vehicles with stochastic disturbances
In this article, an adaptive neural tracking controller is designed for near-space vehicles with stochastic disturbances and unknown parametric uncertainties.
Xiaohui Yan +3 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

