Critical Mixture Ratio

A critical mixture ratio (CMR) refers to the optimal balance between different data sources or components in a system, maximizing overall performance while minimizing resource consumption. Current research focuses on identifying CMRs in diverse fields, employing techniques like power-law relationships (for language model training), mixture-of-experts models (for reservoir simulation and feature acquisition), and graph neural networks (for predicting surfactant properties). Determining the optimal CMR is crucial for improving efficiency and accuracy in various applications, ranging from large language model training and reservoir characterization to material science and federated learning.