To address this challenge, in this study, we evaluate the performance of an equivariant graph neural network (EGNN) TorchMD-NET (28) to generate adequate atomic and molecular structure representations ...

To investigate the relevance of these methods for event log completeness estimation, we have designed and conducted a wide scope of empirical study and quantitative experiments on both real-world and ...

In this brief, an experimental and comparative study of event-based state estimation is performed for some typical event-triggering conditions. The experiments are performed on a magnetic-brake loaded ...

Back in high school chemistry, I remember waiting with my bench partner for crystals to form on our stick in the cup of blue ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Climate change has already caused significant declines in coral reef coverage globally and is expected to do much further ...

Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with COVID-19. Our aim was to ...