Results 141 to 150 of about 5,786,914 (366)

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

open access: yesEvolutionary Computation, 2000
E. Zitzler, K. Deb, L. Thiele
semanticscholar   +1 more source

Chemo‐Mechanical Coupling in Hydrogels: Dynamics in the Diffusion‐Limited Regime

open access: yesAdvanced Functional Materials, EarlyView.
A time‐dependent continuum model is developed to capture the transient swelling dynamics of chemo‐mechanical hydrogels. By coupling chemical reactions, solvent transport, and polymer deformation, volume phase transitions, reaction kinetics, and transient mechanical instabilities are analyzed.
Yao Xiong   +2 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Design of a silicon Mach-Zehnder modulator via deep learning and evolutionary algorithms. [PDF]

open access: yesSci Rep, 2023
Aparecido de Paula R   +5 more
europepmc   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

Synergistic Effects of Entropy Tuning in Niobium‐Based Oxide Anode for Fast‐Charging Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
An entropy‐tuned niobium‐based oxide (ETNO) anode for fast‐charging lithium‐ion batteries are presented, engineered via multi‐cation doping. The synergistic effects of entropy tuning result in excellent rate capability and long‐term durability under ultrafast charging conditions.
Yoojin Ahn   +6 more
wiley   +1 more source

Optimal RF design using smart evolutionary algorithms [PDF]

open access: bronze, 2000
P. Vancorenland   +3 more
openalex   +1 more source

Dynamic Objectives Aggregation in Multi-objective Evolutionary Optimization [PDF]

open access: yes
Several approaches for solving multi-objective optimization problems entail a form of scalarization of the objectives. This paper proposes a study of different dynamic objectives aggregation methods in the context of evolutionary algorithms.
Carlo Meloni   +2 more
core  

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