The framework of Gaussian Approximation Potentials developed in this thesis allows us to generate interatomic potentials automatically, based on quantum mechanical data. The method has already been successfully applied to semiconductors and metals.

Simulation of materials at the atomistic level is an important tool in studying microscopic structures and processes. The atomic interactions necessary for the simulations are correctly described by Quantum Mechanics, but the size of systems and the length of processes that can be modelled are still limited. The framework of Gaussian Approximation Potentials that is developed in this thesis allows us to generate interatomic potentials automatically, based on quantum mechanical data. The resulting potentials offer several orders of magnitude faster computations, while maintaining quantum mechanical accuracy. The method has already been successfully applied for semiconductors and metals.

Describes an important advance in the generation of accurate interatomic potentials The method yields several orders of magnitude faster computations Nominated as an outstanding contribution by the Theory of Condensed Matter Group of Cambridge University's Cavendish Laboratory Includes supplementary material: sn.pub/extras

Inhalt
Representation of Atomic Environments.- Gaussian Process.- Interatomic Potentials.- Computational Methods.- Results.- Conclusion and Further Work.- Appendices.