Results 71 to 80 of about 94,179 (301)
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
We present a Pareto Genetic Algorithm (PGA), which finds the Pareto frontier of solutions to problems of robust design in multiobjective systems. The PGA was designed to be applied using Taguchi’s Parameter Design method, which is the most frequently ...
Enrique Canessa +2 more
doaj +1 more source
ABSTRACT Triple‐negative breast cancer (TNBC) exhibits addiction to chronic endoplasmic reticulum (ER) stress, which sustains an aggressive metastatic phenotype through activation of the unfolded protein response (UPR). Here, we identify a previously unrecognized “ER‐stress addiction” axis in which the Hippo pathway effector TEAD4 directly ...
Yini Shang +9 more
wiley +1 more source
Effective and efficient algorithm for multiobjective optimization of hydrologic models [PDF]
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
Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding
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
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]
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
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
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
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
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]
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

