What can we learn from toy models?

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• Albert Bartok-Partay, University of Warwick
• Monday 22 March 2021, 17:00-17:30
• virtual ZOOM meeting ID: 263 591 6003, Passcode: 000042, https://us02web.zoom.us/j/2635916003?pwd=ZlBEQnRENGwxNmJGMENGMWxjak5nUT09.

If you have a question about this talk, please contact Bingqing Cheng .

It is not generally expected that systems described by simple pair potentials show complex phase behaviour. The Jagla matter, a hard-sphere system augmented by a linear attraction term, has been used to study liquid-liquid transition, but its solid phases have been assumed to form simple close-packed crystals. In my talk I will present how we used nested sampling to discover some thermodynamically stable, but structurally exotic phases that are far from close packed. Even more striking are the similarities between the new Jagla phase and ice VI, a high-pressure polymorph of water.

This talk is part of the Machine learning in Physics, Chemistry and Materials discussion group (MLDG) series.

This talk is included in these lists:

• Hanchen DaDaDash
• Lennard-Jones Centre external
• Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
• virtual ZOOM meeting ID: 263 591 6003, Passcode: 000042, https://us02web.zoom.us/j/2635916003?pwd=ZlBEQnRENGwxNmJGMENGMWxjak5nUT09

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