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Machine Learning for Quantum Matter workshop 2 - ... (No replies)

keeeto
8 months ago
keeeto 8 months ago

Machine Learning for Quantum Matter workshop 2 - Friday 3rd May 2024

Imperial College London, White City, UK

 

The Machine Learning for Quantum Matter workshops are intended to help build a research community in the area of applying machine learning to accelerating areas of quantum chemistry and computational physics. We are a community of research groups interested in research in this area, organising events at cost price. We are particularly interested in nurturing the early career researchers in this area: please do not feel put off by the sometimes highfalutin nature of the research talks – you are very welcome here!

 

Visit the conference website (https://frost-group.github.io/ml4qm/)  to find out more, including any updates to the workshop programme.

Our final list of talks is:

  1. Gino Cassella (Imperial College London) — Freedom from basis sets with Neural Network Variational Monte Carlo
  2. Emma King-Smith (University of Cambridge) — Practical Machine Learning for Organic Small Molecule Modelling
  3. Ilyses Batatia (University of Cambridge) — Foundation models for materials and molecular chemistry
  4. Evan Sheridan (Phasecraft) — Variational quantum simulation of many body problems
  5. Tong Wan 'Tonny' Lou (Imperial College London) —Neural Wave Functions for Superfluids
  6. Harry Moore (University of Cambridge) — Transferrable machine learned forcefields for biomolecular simulation 
  7. Zsuzsanna Koczor-Benda (Warwick) — Generative inverse design of functional molecules for plasmonic nanodevices
  8. Livia Bartok-Partay (Warwick) — Computational thermodynamics: What can the unbiased sampling of the configuration space tell us?

Registration is now open via the Imperial online store: https://estore.imperial.ac.uk/conferences-and-events/faculty-of-natural-sciences/chemistry/workshop/ml4qm 

There is a small charge (£15) to pay for lunch. If you need to apply for a fee waiver, please contact the organisers.

 

The Machine Learning for Quantum Matter workshops are organised by Roberto Bondesan, Jarvist Moore Frost, Alexander Ganose and Keith Butler.

 

The workshops are supported by Imperial’s Department of Chemistry, and Imperial I-X.




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Ab initio (from electronic structure) calculation of complex processes in materials