COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Lennard-Jones Centre > Learning Conical Intersections for Excited States Using Smooth Invariants
Learning Conical Intersections for Excited States Using Smooth InvariantsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Eszter Varga-Umbrich. Conical intersections play a crucial role in determining the dynamics of molecules and materials upon light excitation, molecular orbitals and material band structure. In the relevant context of high-dimensional non-smooth hyper-surfaces, common machine learning models perform poorly. I this talk I will discuss recent work towards overcoming these issues by learning globally smooth invariant quantities from which the desired conical intersections can be reconstructed accurately. This talk is part of the Lennard-Jones Centre series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsTitel: TBC AGI East British Computer Society SPA CambridgeOther talksFunctions with no critical points Breaking symmetry to save symmetry: asymmetric momentum sampling in event-chain Monte Carlo Numeracy, Mathematical Education and the Popularization of Science Modules of equivariant Eilenberg--MacLane spectra The short- and medium-term impacts of Sure Start on children's outcomes. The rise of life on land: new insights from exceptionally preserved fossils |