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 ...

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

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

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 ...

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...

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

Avicenna Biosciences Inc. has introduced an extension to its machine learning (ML) technology platform to enhance medicinal chemistry and expedite clinical-stage drug discovery.

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