We are excited to announce the Royal Society of Chemistry Statistical Mechanics and Thermodynamics Group's inaugural student-led workshop, dedicated to exploring Machine Learning in Molecular Modelling. This event is scheduled for 11th July, from 9 am to 6 pm, at Imperial College London.
Machine learning (ML) is transforming molecular modelling by providing versatile tools to tackle a range of previously challenging problems across different scales and systems. ML techniques enable the efficient processing and interpretation of data from diverse sources, facilitating simulations that can handle significantly larger systems and longer time scales. These applications range from developing specialised force fields and coarse-grained models to optimising sampling methods for capturing rare events. ML's significant role in advancing our understanding of biomolecular and materials systems makes it essential for emerging researchers in the field. This workshop aims to provide a platform for PhD candidates and early-career researchers to engage in in-depth discussions about how machine learning is reshaping our field and how it can be applied in their own work.
The day will include expert talks, student presentations & posters and interactive sessions.
