150 citations · 1.6k across the 81 of their papers we have counts for
3 papers · 1 filter
Insights on molecular P implantation for scalable spin-qubit arrays
Tomás Fernández Bouvier, Ville Jantunen, Saana Vihuri +2
Quantum information technologies hold immense promise, with quantum computers poised to revolutionize problem-solving capabilities. Among the leading contenders are solid-state spi…
Machine-learning interatomic potential for radiation damage and defects in tungsten
Jesper Byggmästar, Ali Hamedani, Kai Nordlund +1
We introduce a machine-learning interatomic potential for tungsten using the Gaussian Approximation Potential framework. We specifically focus on properties relevant for simulation…
Data sets and trained neural networks for Cu migration barriers
Jyri Kimari, Ville Jansson, Simon Vigonski +4
Kinetic Monte Carlo (KMC) is an efficient method for studying diffusion. A limiting factor to the accuracy of KMC is the number of different migration events allowed in the simulat…