University of Cambridge > Talks.cam > Chemistry Departmental-wide lectures > "Machine learning methods for finite-temperature full-quantum simulations: towards predictive modelling of condensed-phase interfaces"

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

"Machine learning methods for finite-temperature full-quantum simulations: towards predictive modelling of condensed-phase interfaces"

Download to your calendar using vCal

If you have a question about this talk, please contact Sharon Connor .

Abstract not available

This talk is part of the Chemistry Departmental-wide lectures series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Central Core SG1 and SG2, Alison Richard Building, CRASSH The Old Library, Pembroke College, Cambridge CB2 1RF; Zoom

Other talks

Afternoon Break Optimal metric and approximation of free boundary minimal surfaces Group Presentation 3 Afternoon Break C2D3 Computational Biology Annual Symposium 2026 Title to be confirmed
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity