Results 71 to 80 of about 303,155 (330)
Advanced Functional Materials, EarlyView.PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
Jixie chuandong, 2022 Dynamics modeling and trajectory tracking control of a novel hybrid drive cable parallel manipulator （HDCPM） which has the advantages of both cable parallel mechanism and hybrid drive mechanism are investigated.
Jianbin Cao, Mingsheng Wei, Haixiao Zhao
doaj
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Single Leg Gait Tracking of Lower Limb Exoskeleton Based on Adaptive Iterative Learning Control
Applied Sciences, 2019 The lower limb exoskeleton is a wearable human−robot interactive equipment, which is tied to human legs and moves synchronously with the human gait.
Bin Ren, Xurong Luo, Jiayu Chen
doaj +1 more source
Adaptive Impedance Control of Robots With Reference Trajectory Learning
IEEE Access, 2020 In this paper, we propose an adaptive impedance control with reference trajectory learning for the robots interacting with unknown environment. A cost function considering its tracking errors and interaction force is introduced and a reference trajectory
Qing Xu, Xiaoming Sun
doaj +1 more source
Knowledge Acquisition from Social Platforms Based on Network Distributions Fitting
, 2015 The uniqueness of online social networks makes it possible to implement new methods that increase the quality and effectiveness of research processes.
Bródka, Piotr +4 more
core +1 more source
Advanced Functional Materials, EarlyView.This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian +8 more
wiley +1 more source
Journal of Control Science and Engineering, 2012 We present a design method for iterative learning control system by using an output recurrent neural network (ORNN). Two ORNNs are employed to design the learning control structure.
Ying-Chung Wang, Chiang-Ju Chien
doaj +1 more source
Model Free Adaptive Iterative Learning Control for Tool Feed System in Noncircular Turning
IEEE Access, 2019 The linear motor tool feed system is an important part in noncircular turning. In this paper, the compact form dynamic linearization based model-free adaptive iterative control scheme (CFDL-MFAILC) and the full form dynamic linearization based model-free
Rongmin Cao +3 more
doaj +1 more source