Related references
Note: Only part of the references are listed.Machine learning and the physical sciences
Giuseppe Carleo et al.
REVIEWS OF MODERN PHYSICS (2019)
SchNet - A deep learning architecture for molecules and materials
K. T. Schuett et al.
JOURNAL OF CHEMICAL PHYSICS (2018)
Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems
Andrea Grisafi et al.
PHYSICAL REVIEW LETTERS (2018)
Why Are There So Few Perovskite Ferroelectrics?
Nicole A. Benedek et al.
JOURNAL OF PHYSICAL CHEMISTRY C (2013)
On representing chemical environments
Albert P. Bartok et al.
PHYSICAL REVIEW B (2013)
Generalized neural-network representation of high-dimensional potential-energy surfaces
Joerg Behler et al.
PHYSICAL REVIEW LETTERS (2007)