Results 81 to 90 of about 303,155 (330)

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

open access: yesAdvanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu   +3 more
wiley   +1 more source

Adaptive PID-Type Iterative Learning Control for DC Motor Position [PDF]

open access: yesAnnals of computer science and information systems, 2022
Tri-Quang Le   +2 more
doaj   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai   +6 more
wiley   +1 more source

Adaptive Iterative Learning Control for Tank Gun Servo Systems With Input Deadzone

open access: yesIEEE Access, 2020
In this paper, an adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun servo systems with input deadzone and arbitrary initial states.
Yuntao Zhang   +3 more
doaj   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu   +4 more
wiley   +1 more source

Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control

open access: yesComplexity, 2019
In this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external
Xiongfeng Deng   +3 more
doaj   +1 more source

Iterative Learning and Fractional Order PID Hybrid Control for a Piezoelectric Micro-Positioning Platform

open access: yesIEEE Access, 2020
The piezoelectric micro-positioning platform(PMP) has advantages in high displacement resolution and fast response, however, the serious hysteresis nonlinearity in the PMP restricts its positioning accuracy.
Miaolei Zhou   +3 more
doaj   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

open access: yesAdvanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu   +18 more
wiley   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman   +12 more
wiley   +1 more source

ITERATIVE LEARNING CONTROL OF ROBOTIC MANIPULATORS BY HYBRID ADAPTATION SCHEMES

open access: yesIFAC Proceedings Volumes, 2004
Iterative learning control (ILC) schemes have been one of the useful methods to achieve tracking control for uncertain processes with less prior information. Those generate desired control inputs for tracking through repetitions of the same tasks on the finite time interval, and have been applied to the control of various processes which execute the ...
openaire   +3 more sources

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