Call for papers for Psi-k-2022 Symposium (B-5) on “Machine-learned surrogate models: the quest for ab initio accuracy at a fraction of the cost”

Dear all,

As you will be aware, Psi-k 2022 is being organized fully in-person in Lausanne from August 22-25, 2022.

Our symposium “B-5 on Machine-learned surrogate models: the quest for ab initio accuracy at a fraction of the cost” will focus on the development of algorithms for learning predictive surrogate models for ab initio many-body Hamiltonians which allow the sampling of the potential-energy surface orders of magnitude faster than with the parent model. This enables the investigation of phenomena that are inaccessible at the ab initio level, due to their prohibitive computational cost.

We hope to attract contributions that further this important field at the crossroad of quantum mechanics, statistical mechanics, and artificial intelligence. The deadline for oral presentation is 31st May, 2022. Please encourage young researchers from your group to submit abstracts for oral and poster contributions. Contributed talks will be 15 mins in duration.

Best wishes from the organisers,

Luca Ghiringhelli (chair 1), Geoffroy Hautier (chair 2), Silvana Botti, James Kermode and Giovanni Pizzi