History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...

A method is proposed to generate realistic scenarios by simulation and collect synthetic data from these scenarios to acquire a comprehensive dataset. With these synthetic data, we evaluated different ...

Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, U.K. Department of Physics and Astronomy, University College, London WC1E 6BT, U.K. Yusuf Hamied Department of Chemistry, University ...

Their project involved collecting and curating large datasets ... a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to ...

Although contemporary machine learning models have achieved significant advances in predicting properties for specific principal element combinations of high-entropy alloys, they encounter ...