EurekAlert September 12, 2019
Currently, there is no shared network or central portal where molecular scientists and engineers can harness artificial intelligence and data science tools to build models to support their needs. There is no standard way to represent — or predict — molecular performance. Under the NSF Convergence Accelerator program it has funded a multi-university pilot project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings on advanced microchips. They will develop a central platform for collecting data, creating molecular imprints and developing algorithms for mining the data, and will develop machine learning tools to create performance prediction models. They will deliver the prototype in March 2020…read more.