Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.
Explore these studies to deepen your understanding of the subject.
From individual elements to macroscopic materials: in search of new superconductors via machine learning
C. Pereti, K. Bernot, et al.
Prediction of transition state structures of gas-phase chemical reactions via machine learning
S. Choi
Predicting global patterns of long-term climate change from short-term simulations using machine learning
L. A. Mansfield, P. J. Nowack, et al.
Machine learning using structural representations for discovery of high temperature superconductors
L. Novakovic, A. Salamat, et al.
