TU Delft researchers design new material by using Artificial Intelligence only

Yet, Bessa argues that the most important aspect of the work is not the particular material that was created but the ability to reach untapped regions of the design space via machine learning. 'The important thing is that machine learning creates an opportunity to invert the design process by shifting from experimentally-guided investigations to computationally data-driven ones, even if the computer models are missing some information. The essential requisites are that'enough' data about the problem of interest is available, and that the data is sufficiently accurate.' Bessa is a strong proponent of data-driven research in mechanics and materials science. 'Data-driven science will revolutionize the way we reach new discoveries, and I can't wait to see what the future will bring us.'