Glassy Discovery Offers Computational Windfall to Researchers Across Disciplines - Penn Engineering Blog

Materials researchers have found surprising success using metadynamics to identify low-energy glassy states. Their computational discovery now has the potential to assist a wide range of disciplines. Bogged down by the same computational inefficiencies that glassy materials researchers face, genomic scientists may find similar successes with metadynamics-based approaches, accelerating the pace of medical research. With a more strategic computational process, machine learning could become faster, cheaper and more accessible. The metadynamics algorithm may have the potential to overcome the need for the huge and costly datasets typical of the process. Not only would this provide solutions for industry efficiency, but it could also democratize AI, allowing people with modest resources to do their own training and development.