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Data Driven Materials Design

Data driven materials design is a series of seminars showcasing the latest in machine learning an informatics techniques applied to materials simulation.

Volker Deringer – Oxford

Xia Liang – Imperial

Philipp Schienbein - UCL

Venue: DERI - Digital Environment Research Institute, 67 New Road, London, E1 1HH

Registration: https://www.eventbrite.com/e/data-driven-materials-design-with-volker-deringer-tickets-592291207947

MMM Hub Software Spotlight: Chemshell

To coincide with Thomas Keal’s Inagural Lecture on 27th April 2023, You Lu from STFC has been invited to showcase the capabilities of the ChemShell package from a research perspective, as well as spending time looking at exactly how the code can be efficiently run in practice – in particular multinode jobs on Young.

Venue: ONLINE
https://ucl.zoom.us/j/99746496587?pwd=UUJHeFBzU3p1a0crTEh2T1lrNUFrUT09

Passcode: TYCSWS

TYC Inaugural Lecture: Thomas Keal – Scaling up computational chemistry: from small molecules to complex systems

Michael Buehl, St Andrews - Enzymology in silico

Kakali Sen, STFC - Modelling enzyme reactivity with QM/MM simulations

Xingfan Zhang, UCL - Combining QM/MM with other Theoretical Approaches for A Comprehensive Understanding of CeO2

Keith Butler, QMUL - Scratching the surface: atomistic modelling, chemical heuristics and machine learning for designing interfaces in energy materials

Thomas Keal, STFC/UCL - Scaling up computational chemistry: from small molecules to complex systems

Venue: Ramsay Lecture Theatre, Christopher Ingold Building