Results 51 to 60 of about 5,122 (219)

Influence of Top Electrode Metal on Resistive Switching in Multilayer MOCVD MoS2 Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
MoS2 memristors typically use evaporated noble metal electrodes. This study compares Pd, Ni, and Al electrodes and sputtered versus evaporated deposition. Pd is passive, while Ni damages MoS2, yielding poor switching. Sputtered Al enables reproducible ECM‐type switching with 95% yield, whereas evaporated Al forms an interfacial oxide that suppresses ...
Dennis Braun   +15 more
wiley   +1 more source

Integrated simulation model of swarm control and adaptive routeing of UAVS in a changing air environment

open access: yesСучасний стан наукових досліджень та технологій в промисловості
Subject matter: the processes of swarm control and adaptive routing of unmanned aerial vehicles (UAVs) in complex and dynamically changing air conditions using adaptive algorithms.
Максим Єна   +1 more
doaj   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

FREYA PID Graph Services

open access: yes, 2020
Presentation of the PID Graph services developed in the FREYA project. The presentation was given as part of a session on PID Graph services in the context of the "Realising the EOSC event" on November 16th 2020.
openaire   +2 more sources

Influential Nodes in the Australian PID Graph

open access: yes, 2023
The Australian Persistent Identifier (PID) graph (also known as National PID Graph) connects Australian research to funders, research activities, and research outcomes using persistent identifiers. Connections between ORCID, ROR, DOI, RAID, and other PIDs provide a valuable source of information about the digital footprint of research and the ...
openaire   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar   +2 more
wiley   +1 more source

Deliverable 4.1 Integration of Mature PID Types

open access: yes, 2018
This deliverable reports on the deployment of PID Graph functionality in FREYA’s pilot applications. Initial steps for building the PID Graph include advancing the implementation of person-article-data linking, further establishing software citation and ...
Stephanie van de Sandt   +33 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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