Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

When an ecological disaster releases toxins into the environment, extensive sampling and analysis is vital to ensure the health and safety of the people affected. Surface-enhanced vibrational ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...