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DTSTART;TZID="Europe/Stockholm":20200512T160000
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SUMMARY:Michele Ceriotti - Symmetry\, locality and long-range interactions in atomistic machine learning
DESCRIPTION:Symmetry\, locality and long-range interactions in atomistic machine learning\n================================================= \nMachine learning models are proving to be extremely effective in\npredicting the properties of atomistic configurations of matter\,\ncircumventing the need for time consuming electronic structure\ncalculations. The most succesful schemes achieve transferability\nby means of a local representation of structures\, in which the\nproblem of predicting a property is broken down into the prediction\nof local\, atom-centred contributions\, and fundamental symmetries\nare incorporated exactly. This approach is however not efficient\nin describing long-range interatomic forces\, such as those arising\ndue to electrostatics.\nI will present a possible solution to this conundrum based on the\nlong-distance equivariant (LODE) framework\, that combines a local\ndescription of matter with the appropriate\, long-range asymptotic\nbehaviour of interactions.  \n=================================================\n \nZoom Login \nJoin Zoom Meeting\nhttps://stockholmuniversity.zoom.us/j/67379248617 \nMeeting ID: 673 7924 8617\nOne tap mobile\n+16699006833\,\,67379248617# US (San Jose)\n+12532158782\,\,67379248617# US (Tacoma) \nDial by your location\n+1 669 900 6833 US (San Jose)\n+1 253 215 8782 US (Tacoma)\n+1 301 715 8592 US (Germantown)\n+1 312 626 6799 US (Chicago)\n+1 346 248 7799 US (Houston)\n+1 408 638 0968 US (San Jose)\n+1 408 652 8184 US (San Jose)\n+1 646 876 9923 US (New York)\nMeeting ID: 673 7924 8617\nFind your local number: https://stockholmuniversity.zoom.us/u/cbvOSpXxkD \n
URL:http://diracmaterials.org/calendar2/michele-ceriotti-symmetry-locality-and-long-range-interactions-in-atomistic-machine-learning/
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