17 citations · 83 across the 13 of their papers we have counts for
4 papers · 1 filter
Simple Fermionic backflow states via a systematically improvable tensor decomposition
Massimo Bortone, Yannic Rath, George H. Booth
We present an effective ansatz for the wave function of correlated electrons that brings closer the fields of machine learning parameterizations and tensor rank decompositions. We…
Fast characterization of multiplexed single-electron pumps with machine learning
N. Schoinas, Y. Rath, S. Norimoto +8
We present an efficient machine learning based automated framework for the fast tuning of single-electron pump devices into current quantization regimes. It uses a sparse measureme…
Fast and accurate nonadiabatic molecular dynamics enabled through variational interpolation of correlated electron wavefunctions
Kemal Atalar, Yannic Rath, Rachel Crespo-Otero +1
We build on the concept of eigenvector continuation to develop an efficient multi-state method for the rigorous and smooth interpolation of a small training set of many-body wavefu…
Interpolating many-body wave functions for accelerated molecular dynamics on the near-exact electronic surface
Yannic Rath, George H. Booth
While there have been many developments in computational probes of both strongly-correlated molecular systems and machine-learning accelerated molecular dynamics, there remains a s…