Bosonic Quantum Solvation Enabled by Machine Learning

Add to your list(s) Download to your calendar using vCal

• Dominik Marx (Ruhr-Universität Bochum)
• Thursday 22 February 2024, 14:00-15:00
• TCM Seminar Room.

If you have a question about this talk, please contact Bo Peng.

My talk will focus on our recent advances that allow us to perform highly accurate and converged path integral simulations of flexible molecules including their reactions in bosonic solvents at 1 Kelvin or less. Our approach is based on using machine learning potentials to describe the many-body interactions at the level of coupled cluster electronic structure theory. Selected applications will be used to explore to what extent Bose-Einstein statistics of the liquid environment such as manifestations of local superfluidity or supersolidity are critical to understand phenomena as probed by the embedded molecular species.

This talk is part of the Theory of Condensed Matter series.

This talk is included in these lists:

• All Cavendish Laboratory Seminars
• All Talks (aka the CURE list)
• Centre for Health Leadership and Enterprise
• Combined TCM Seminars and TCM blackboard seminar listing
• Featured lists
• Lennard-Jones Centre external
• ME Seminar
• Neurons, Fake News, DNA and your iPhone: The Mathematics of Information
• PMRFPS's
• School of Physical Sciences
• TCM Seminar Room
• Theory of Condensed Matter
• Thin Film Magnetic Talks
• few29

Note that ex-directory lists are not shown.