Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Innovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving efficiency in construction materials.

The optimization of biofuel production involves balancing multiple conflicting objectives such as yield maximization, cost minimization, and environmental impact reduction. Recent studies have ...

To address issues with limited data and computing resources, this work presents a novel deep-learning method based on using a newly proposed hyperparameter optimization method to identify the ...

3.2 Preliminaries To formalize the optimization of smart materials, we define the problem using the framework of Multi-Objective Markov Decision Processes (MOMDPs), which provides the foundation for ...

The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from simulated geometries to predict the best possible geometries for enhancing ...

In this paper, a model-based multi-objective optimization method is proposed for the hybrid excitation switched flux (HESF) machine. In the proposed method, the index space distribution including ...