The Gaussian Approximation Potential
Bart?k-Pártay, Albert.
The Gaussian Approximation Potential An Interatomic Potential Derived from First Principles Quantum Mechanics / [recurso electrónico] : by Albert Bart?k-Pártay. - XIV, 90 p. online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research, .
Representation of Atomic Environments -- Gaussian Process -- Interatomic Potentials -- Computational Methods -- Results -- Conclusion and Further Work -- Appendices.
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.
9783642140679
Physics.
Physics.
Solid State Physics.
Theoretical, Mathematical and Computational Physics.
QC176-176.9
530.41
The Gaussian Approximation Potential An Interatomic Potential Derived from First Principles Quantum Mechanics / [recurso electrónico] : by Albert Bart?k-Pártay. - XIV, 90 p. online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research, .
Representation of Atomic Environments -- Gaussian Process -- Interatomic Potentials -- Computational Methods -- Results -- Conclusion and Further Work -- Appendices.
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.
9783642140679
Physics.
Physics.
Solid State Physics.
Theoretical, Mathematical and Computational Physics.
QC176-176.9
530.41
