48 citations · 136 across the 4 of their papers we have counts for
5 papers
Generating stable molecules using imitation and reinforcement learning
Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen +3
Chemical space is routinely explored by machine learning methods to discover interesting molecules, before time-consuming experimental synthesizing is attempted. However, these met…
Atomistic Structure Learning Algorithm with surrogate energy model relaxation
Henrik Lund Mortensen, Søren Ager Meldgaard, Malthe Kjær Bisbo +2
The recently proposed Atomistic Structure Learning Algorithm (ASLA) builds on neural network enabled image recognition and reinforcement learning. It enables fully autonomous struc…
Atomistic structure learning
Mathias S. Jørgensen, Henrik L. Mortensen, Søren A. Meldgaard +4
One endeavour of modern physical chemistry is to use bottom-up approaches to design materials and drugs with desired properties. Here we introduce an atomistic structure learning a…
Fast state transfer in a Λ-system: a shortcut-to-adiabaticity approach to robust and resource optimized control
Henrik Lund Mortensen, Jens Jakob W. H. Sørensen, Klaus Mølmer +1
We propose an efficient strategy to find optimal control functions for state-to-state quantum control problems. Our procedure first chooses an input state trajectory, that can real…
Normal modes of a superconducting transmission-line resonator with embedded lumped element circuit components
Henrik Lund Mortensen, Klaus Mølmer, Christian Kraglund Andersen
We present a method to identify the coupled, normal modes of a superconducting transmission-line with an embedded lumped element circuit. We evaluate the effective transmission-lin…