activity
20152023
most citedGraphCast: Learning skillful medium-range global weather forecasting

172 citations · 551 across the 12 of their papers we have counts for

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Showing physics.comp-phShow all

5 papers · 1 filter

physics.comp-ph2023★ 4 cited

Estimating Gibbs free energies via isobaric-isothermal flows

Peter Wirnsberger, Borja Ibarz, George Papamakarios

We present a machine-learning model based on normalizing flows that is trained to sample from the isobaric-isothermal ensemble. In our approach, we approximate the joint distributi…

physics.comp-ph2021★ 46 cited

Normalizing flows for atomic solids

Peter Wirnsberger, George Papamakarios, Borja Ibarz +4

We present a machine-learning approach, based on normalizing flows, for modelling atomic solids. Our model transforms an analytically tractable base distribution into the target so…

physics.comp-ph2020★ 74 cited

Targeted free energy estimation via learned mappings

Peter Wirnsberger, Andrew J. Ballard, George Papamakarios +5

Free energy perturbation (FEP) was proposed by Zwanzig more than six decades ago as a method to estimate free energy differences, and has since inspired a huge body of related meth…

physics.comp-ph2016★ 15 cited

Numerical Evidence for Thermally Induced Monopoles

Peter Wirnsberger, Domagoj Fijan, Roger Adam Lightwood +3

Electrical charges are conserved. The same would be expected to hold for magnetic charges, yet magnetic monopoles have never been observed. It is therefore surprising that the laws…

physics.comp-ph2015★ 169 cited

An enhanced version of the heat exchange algorithm with excellent energy conservation properties

P. Wirnsberger, D. Frenkel, C. Dellago

We propose a new algorithm for non-equilibrium molecular dynamics simulations of thermal gradients. The algorithm is an extension of the heat exchange algorithm developed by Hafskj…