Interpretable machine learning to accelerate nanocatalyst discovery

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
IEEE

Analysis of Adolescent Mental Health Based on Machine Learning Algorithm

Abstract: With the improvement of people’s living standards, material needs have been satisfied, so attention has begun to be paid to mental health. Among them, adolescents due to adolescence, mental ...
IEEE

Research on Performance Prediction Model of Metal Structural Materials Based on Machine Learning Algorithm

Abstract: The traditional performance evaluation of metal materials depends on trial and error, which is expensive and time-consuming. Machine learning algorithm, especially deep learning, has brought ...
C&EN

Coal Air-Dry Basis Sulfur Content Detection Model Based on Hippopotamus Optimization Algorithm and Two Hidden Layer Extreme Learning Machine

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...