Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding
Advanced Science, EarlyView.A novel nanocomposite hydrogel architecture overcomes the inherent conflict between toughness and stretchability by integrating uniformly dispersed aminopropyl‐hybrid‐phyllosilicate nanosheets within a polyacrylamide matrix. This design leverages a dynamic hydrogen‐bonding network to facilitate efficient energy dissipation and self‐recovery.
Yining Gao +3 more
wiley +1 more source
Effective and efficient algorithm for multiobjective optimization of hydrologic models [PDF]
, 2003 Practical experience with the calibration of hydrologic models suggests that any single-objective function, no matter how carefully chosen, is often inadequate to properly measure all of the characteristics of the observed data deemed to be important ...
Bastidas, LA +4 more
core +3 more sources
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Matching as a Cure for Underprovision of Voluntary Public Good Supply: Analysis and an Example [PDF]
Matching mechanisms are regarded as an important instrument to bring about Pareto optimal allocations in a public good economy and to cure the underprovision problem associated with private provision of public goods.
Dirk Rübbelke +2 more
core +3 more sources
Multi-Objective Demand Side Scheduling Considering the Operational Safety of Appliances [PDF]
, 2016 The safe operation of appliances is of great concern to users. The safety risk increases when the appliances are in operation during periods when users are not at home or when they are asleep.
Counsell, J +4 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
, 2015 Nonnegative matrix factorization (NMF) is a powerful class of feature extraction techniques that has been successfully applied in many fields, namely in signal and image processing.
Honeine, Paul, Zhu, Fei
core +3 more sources
Model simplification and optimization of a passive wind turbine generator [PDF]
, 2009 In this paper, the design of a "low cost full passive structure" of wind turbine system without active electronic part (power and control) is investigated. The efficiency of such device can be obtained only if the design parameters are mutually adapted
Abdelli, Abdenour +3 more
core +3 more sources
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Multimodal Multiobjective Optimization Algorithm Based on Local Center Clustering [PDF]
Jisuanji kexueIn multimodal multiobjective optimization problems,multiple global and local optimal solutions can provide flexible options for decision makers.However,the current research work of multimodal multiobjective algorithms mostly focuses on multiple ...
YUE Caitong, YE Wenhao, ZHANG Yingjie, LIANG Jing, LIN Hongyu
doaj +1 more source