Results 131 to 140 of about 1,466,211 (327)

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

Density Functional Theory and Machine Learning‐Based Analyses for Improved Surface Stability of a BaTiO₃‐Coated LiCoO₂ Positive Electrode Material

, 2021
Kunihiro Ishida, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Takashi Teranishi, Naoki Watanabe   +5 more
openalex   +1 more source

An adaptive iterative learning control approach based on disturbance estimation for manipulator system

International Journal of Advanced Robotic Systems, 2019
An adaptive iterative learning control approach based on disturbance estimation has been developed for trajectory tracking of manipulators with uncertain parameters and external disturbances.
Keping Liu, Yuanyuan Chai, Zhongbo Sun, Yan Li   +3 more
doaj   +1 more source

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

Advanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir, Yuhao Wang, Jingwei Li, Yunfeng Tian, Francesco Ciucci   +4 more
wiley   +1 more source

Adaptive hybrid function projective synchronization of chaotic systems with fully unknown periodical time-varying parameters

Nonlinear Analysis, 2019
In this paper, an adaptive learning control approach is presented for the hybrid functional projective synchronization (HFPS) of different chaotic systems with fully unknown periodical time-varying parameters.
Jinsheng Xing
doaj  

Selective Benzene Capture by Metal‐Organic Frameworks

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han, Ankit Mondal, Jiatong Huo, Yihao Yang, Hong‐Cai Zhou   +4 more
wiley   +1 more source

Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems

Ain Shams Engineering Journal
This paper presents an identification model based on quantum neural network for engineering systems. Quantum neural network (QNN) is a superior strategy to improve the computational efficiency for conventional neural network structures due to their ...
Hossam Khalil, Osama Elshazly, Abdullah Baihan, Walid El-Shafai, Omar Shaheen   +4 more
doaj   +1 more source

High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber

Machine Learning and Knowledge Extraction
Perovskite materials have attracted much attention in recent years due to their high performance, especially in the field of photovoltaics. However, the dark side of these materials is their poor stability, which poses a huge challenge to their practical
Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, B. Bentria, M. Kanoun, S. Goumri‐Said   +5 more
semanticscholar   +1 more source

Ultrafast Transient Absorption Studies of the Dynamics of Free and Coulombically Trapped Polarons in Doped Conjugated Polymers

Advanced Functional Materials, EarlyView.
Transient absorption measurements of doped conjugated polymer films show that small dopant ions create both free and Coulomb‐trapped polarons regardless of polymer morphology, but large dodecaborane‐based dopant ions create only free polarons even though the large ions cause the films to be more disordered.
Eric C. Wu, Diego Garcia Vidales, Charlene Z. Salamat, Quynh M. Duong, Alex León Ruiz, Austin D. Ready, Zerina Mehmedović, Dane A. Stanfield, Alexander M. Spokoyny, Sarah H. Tolbert, Benjamin J. Schwartz   +10 more
wiley   +1 more source

The effects of spatial stability and cue type on spatial learning : Implications for theories of parallel spatial memory systems

, 2021
Some theories of spatial learning predict that associative rules apply under only limited circumstances. For example, learning based on a boundary has been claimed to be immune to cue competition effects because boundary information is the basis for the formation of a cognitive map, whilst landmark learning does not involve cognitive mapping.
Buckley, Matthew G., Austen, Joe M., Myles, Liam A. M., Smith, Shamus, Ihssen, Niklas, Lew, Adina, McGregor, Anthony   +6 more
openaire   +1 more source