Results 221 to 230 of about 57,740 (314)

Leveraging agent-based models and deep reinforcement learning to predict taxis in cell migration. [PDF]

NPJ Syst Biol Appl
Camacho-Gomez D, Sentiero R, Ventre M, Garcia-Aznar JM.   +3 more
europepmc   +1 more source

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning

, 2018
Zhiqiang Wan, Chao Jiang, Muhammad Fahad, Zhen Ni, Yi Guo, Haibo He   +5 more
openalex   +1 more source

Reassessing Electrolyte Design for Non‐Aqueous Magnesium Batteries: Atomistic Structures and Performance Optimization

Advanced Materials, EarlyView.
This review systematically examines recent advances in non‐aqueous electrolytes for rechargeable magnesium batteries, focusing on chlorine‐containing and chlorine‐free systems. It highlights the interdependent relationship between electrolyte compositions, atomistic structures, and electrochemical performance.
Hao Xu, Xiaoqian He, Yue Li, Quanquan Guo, Xinyu Sun, Xinlong Xie, Lingyue Liu, Richard M. Laine, Jianxin Zou, Xinliang Feng, Minghao Yu   +10 more
wiley   +1 more source

End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture. [PDF]

Front Neurorobot
Zhou Y, Zhang W.
europepmc   +1 more source

Progress in Multilayer PVDF‐Based Composite for Dielectric Energy Storage

Advanced Materials Interfaces, EarlyView.
This review summarizes recent advances in poly(vinylidene fluoride)‐based multilayer composite films for energy storage capacitors, focusing on layer configurations, filler engineering, and functional layer integration. It highlights strategies to enhance dielectric performance and energy density while addressing interfacial defects and property trade ...
Shubao Yang, Weihao Wu, Jianghai Wang, Haowen Mu, Rongli Gao, Xiaoling Deng, Wei Cai, Chunlin Fu   +7 more
wiley   +1 more source

Improved double DQN with deep reinforcement learning for UAV indoor autonomous obstacle avoidance. [PDF]

Sci Rep
Yu R, Li Q, Ji J, Wu T, Mao J, Liu S, Sun Z.   +6 more
europepmc   +1 more source

Halide Perovskite Memristor Crossbar Arrays for Low Voltage in Memory Computing

Advanced Materials Interfaces, EarlyView.
From early devices to centimeter‐scale crossbars, halide‐perovskite memristors now deliver ultra‐low‐energy, multilevel switching. Yet ion migration, device variability, and sneak currents hinder scaling. Advances in self‐rectifying junctions, nonlinear interfaces, bias maps, and hybrid oxides enhance array stability.
Hyojung Kim
wiley   +1 more source

An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing. [PDF]

PLoS One
Cui D, Peng Z, Li K, Li Q, He J, Deng X.
europepmc   +1 more source

Flow: Deep Reinforcement Learning for Control in SUMO

, 2018
Nishant Kheterpal, Kanaad Parvate, Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen   +5 more
openalex   +2 more sources

Ultrasonic Spray Pyrolysis of Functional Zn─Sn─O Matrix Semiconductors: Stoichiometric Design for Enhanced Acetone Selectivity in VOC Sensing

Advanced Materials Interfaces, EarlyView.
Zn–Sn–O thin films synthesized via ultrasonic spray pyrolysis reveal tunable phase evolution and enhanced acetone selectivity. Integrating DFT insights with machine learning predictions uncovers the role of stoichiometric control and oxygen vacancies in VOC sensing.
Kevin Rueda‐Castellanos, María de la Luz Olvera‐Amador, José A. Henao‐Martínez, Marisol Bermúdez‐Montaña, Rajesh Roshan‐Biswal, Brenda García‐Farrera, Venkata K. K. Tangirala   +6 more
wiley   +1 more source