Results 91 to 100 of about 144,133 (245)
DronesIn unmanned aerial vehicle (UAV) path planning, evolutionary algorithms are commonly used due to their ability to handle high-dimensional spaces and wide generality.
Hong Xu +7 more
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Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
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A Constraint-Tightening Feasible-Trajectory-Guided Two-Stage Evolutionary Algorithm
MathematicsConstrained multi-objective optimization problems (CMOPs) are widely encountered in practical engineering and scientific applications. To address these issues, this paper proposes a Constraint-Tightening Feasible-Trajectory-Guided Two-Stage Evolutionary ...
Dapeng Wei +3 more
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Advanced Functional Materials, EarlyView.ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
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
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Advanced Functional Materials, EarlyView.Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source
Sensorized Engineered Tissues with Built‐in Thermoregulation and Nutrient Supply
Advanced Functional Materials, EarlyView.This work introduces a granular hydrogel‐based tissue engineering platform that includes a closed‐loop temperature control to maintain 37°C and sustainably releases nutrients, thereby enabling cells to retain a high viability even if stored at room temperature for up to 24 h.
Antonia Georgopoulou +5 more
wiley +1 more source
Jixie chuandong, 2010 A new approach to handle constrained function optimization problems by using evolutionary algorithms is presented.The value adopting problem of hybrid discrete variable in optimization design is dealing with reasonably by the method.On the basis of Guo ...
何哲明
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