The Gaussian Approximation Potential: An Interatomic Potential Derived from First Principles Quantum Mechanics (Springer Theses) - Softcover

Bartók-Pártay, Albert

 
9783642264269: The Gaussian Approximation Potential: An Interatomic Potential Derived from First Principles Quantum Mechanics (Springer Theses)

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783642140662: The Gaussian Approximation Potential: An Interatomic Potential Derived from First Principles Quantum Mechanics (Springer Theses)

Featured Edition

ISBN 10:  3642140661 ISBN 13:  9783642140662
Publisher: Springer, 2010
Hardcover