The conference will provide delegates with a deep dive into AI-driven solutions in the physical sciences and industry. Bringing together leading AI researchers, industry pioneers, and experts, it will serve as a platform to explore and shape the future of machine learning applications in these fields.

The summer school is open to (but not restricted to) all new PhD students in astrophysics. The summer school will include lectures on a 
broad range of topics from Solar Physics to Planetary, Stellar and Galactic Evolution, all the way to Gravitational Waves. There will also 
be sessions on programming, public engagement, careers, wellness and PhD tips and tricks!

N.B. STFC-funded and self-funded students have their summer school fees covered. This payment is only required for PhD students 
funded through other channels.

A mix of leading expert keynote and invited speakers will deliver talks in state-of the art materials simulation techniques and software developments in High Performance Computing. Contributed talks from MMM Hub Users will inform the scientific innovations taking place at the MMM Hub, addressing advanced materials, biological and soft matter, catalysis, multi-scale modelling, materials discovery and design and the impacts to society and industry seen through simulation of materials at the atomic scale.