M. Ångqvist, W. A. Muñoz, J. M. Rahm, E. Fransson, C. Durniak, P. Rozyczko, T. H. Rod, and P. Erhart
ICET – A Python Library for Constructing and Sampling Alloy Cluster Expansions
Adv. Theory. Sim. 2, 1900015 (2019)
Fredrik Eriksson, Erik Fransson, and Paul Erhart
The Hiphive Package for the Extraction of High-Order Force Constants by Machine Learning
Advanced Theory and Simulations 2, 1800184 (2019)
Erik Fransson, Fredrik Eriksson, and Paul Erhart
Efficient construction of linear models in materials modeling and applications to force constant expansions
npj Computational Materials 6, 135 (2020)
T. Goldstein and S. Osher
The Split Bregman Method for L1-Regularized Problems
SIAM Journal of Imaging Science 2, 323 (2009)
F. Pedregosa et al.,
Scikit-Learn: Machine Learning in Python,
Journal of Machine Learning Research 12, 2825 (2011)
F. Zhou, B. Sadigh, D. Åberg, Y. Xia, and V. Ozolins
Compressive sensing lattice dynamics. II. Efficient phonon calculations and long-range interactions
Physical Review B 100, 184309 (2019)