One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary ...
Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and ...
Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. Oliver Steinbock, Cottrell ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results