A multiobjective evolutionary algorithm for optimizing the small-world property. [PDF]
PLoS OneZhang R, Zhu B.
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Advanced Materials Interfaces, EarlyView.BioEISense is a microfluidic device with integrated impedance sensors, for real‐time, label‐free monitoring of S. aureus biofilms. In this study, the biofilm culture conditions were optimized to support sensitive and reproducible detection of biofilm formation and eradication under dynamic flow‐through conditions. The system was also validated for both
Jéssica Amorim +6 more
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Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems. [PDF]
Entropy (Basel)Leng Q, Shan B, Zhou C.
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Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Advanced Materials Interfaces, EarlyView.Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
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A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology. [PDF]
Sci RepAbbas MN, Broneske D, Saake G.
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Neutron Reflectometry and Compression of Graded Hydrogel Surfaces
Advanced Materials Interfaces, EarlyView.Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer +12 more
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Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]
Sci RepZhang M, Zhou M, Zhang L, Zhang Z.
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Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
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Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm. [PDF]
Sci RepAbdulla S, Mahipal Reddy K.
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Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
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