Results 131 to 140 of about 241,763 (280)

Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances

SICE Journal of Control, Measurement, and System Integration
This study considers a discrete-time, linear state feedback control strategy rooted in Q-learning, one of the Reinforcement Learning (RL) approaches, to address an adaptive Linear Quadratic (LQ) problem under stochastic disturbances. Q-learning optimizes
Vina Putri Virgiani, Shiro Masuda
doaj   +1 more source

Context Aware Task Orchestration With Deep Reinforcement Learning in Real Time Fog Computing Simulation Environment

IEEE Access
In the ever-evolving landscape of cloud computing, fog and edge computing have become more prominent because of their natural property of proximity to demanding parts.
Alp Gokhan Hossucu, Suat Ozdemir
doaj   +1 more source

Furan‐Substituted Phosphine‐Oxide as an Efficient Interfacial Modifier for Wide‐Bandgap Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
We report phosphine‐oxide interlayers for wide‐bandgap perovskite solar cells, in which tuned P = O Lewis basicity enables selective passivation of buried NiOx/perovskite interfaces and introduces interfacial dipoles that strengthen the built‐in field.
JeeHee Hong, Juan Anthony Prayogo, Soobin Heo, Jae Sung Yun, Dong Ryeol Whang, Dong Wook Chang, Hui Joon Park   +6 more
wiley   +1 more source

Flow Q-Learning

ICML ...
Park, Seohong, Li, Qiyang, Levine, Sergey   +2 more
openaire   +2 more sources

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm

Mathematics
Regarding autonomous vehicle navigation, reinforcement learning is a technique that has demonstrated significant results. Nevertheless, it is a technique with a high number of parameters that need to be optimised without prior information, and correctly ...
Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa   +4 more
doaj   +1 more source

Structural and Chemical Engineering of Sub‐Nanochannel Membranes Toward Ion Selectivity

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in structural and chemical engineering of sub‐nanochannels for ion selectivity. We first introduce fundamental ion transport mechanisms within sub‐nanochannels, followed by strategies to tune pore size, geometry, and surface functionalities, categorized into charge‐based, ion‐recognition, hydrophilic bonding, and ...
Yuyu Su, Huacheng Zhang, Tamar L. Greaves, Qi Han, Weiwei Lei, Dan Liu   +5 more
wiley   +1 more source

Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors

Advanced Functional Materials, EarlyView.
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee, Hyoik Jang, Myeongjin An, Junho Sung, Chaeyeon Han, Eunho Lee   +5 more
wiley   +1 more source

Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review

Advanced Healthcare Materials, EarlyView.
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro, Mario González‐Quintas, Mónica Fernández‐Arias, Jesús del Val, Félix Quintero, Rafael Comesaña, Fernando Lusquiños, Julian R. Jones, Juan Pou   +8 more
wiley   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source