High-dimensional neural network potentials for metal surfaces: A prototype study for copper

Atom-centered symmetry functions for constructing high-dimensional neural network potentials

(2011) Jörg Behler   JOURNAL OF CHEMICAL PHYSICS

Nucleation mechanism for the direct graphite-to-diamond phase transition

(2011) Rustam Z. Khaliullin et al.   NATURE MATERIALS

Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations

(2011) Jörg Behler   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide

(2011) Nongnuch Artrith et al.   PHYSICAL REVIEW B

Potential Energy Surfaces Fitted by Artificial Neural Networks

(2010) Chris M. Handley et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Ab initioquality neural-network potential for sodium

(2010) Hagai Eshet et al.   PHYSICAL REVIEW B

Graphite-diamond phase coexistence study employing a neural-network mapping of theab initiopotential energy surface

(2010) Rustam Z. Khaliullin et al.   PHYSICAL REVIEW B

Signatures of nonadiabaticO2dissociation at Al(111): First-principles fewest-switches study

(2010) Christian Carbogno et al.   PHYSICAL REVIEW B

Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons

(2010) Albert P. Bartók et al.   PHYSICAL REVIEW LETTERS

Ab initio molecular simulations with numeric atom-centered orbitals

(2009) Volker Blum et al.   COMPUTER PHYSICS COMMUNICATIONS

Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations

(2009) M. Malshe et al.   JOURNAL OF CHEMICAL PHYSICS

Interpolating moving least-squares methods for fitting potential energy surfaces: A strategy for efficient automatic data point placement in high dimensions

(2008) Richard Dawes et al.   JOURNAL OF CHEMICAL PHYSICS

Mapping Potential Energy Surfaces by Neural Networks: The ethanol/Au(111) interface

(2008) Diogo A.R.S. Latino et al.   JOURNAL OF ELECTROANALYTICAL CHEMISTRY

Silicon potentials investigated using density functional theory fitted neural networks

(2008) E Sanville et al.   JOURNAL OF PHYSICS-CONDENSED MATTER

Pressure-induced phase transitions in silicon studied by neural network-based metadynamics simulations

(2008) Jörg Behler et al.   PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS

Fingerprints for Spin-Selection Rules in the Interaction Dynamics ofO2at Al(111)

(2008) Christian Carbogno et al.   PHYSICAL REVIEW LETTERS

Metadynamics Simulations of the High-Pressure Phases of Silicon Employing a High-Dimensional Neural Network Potential

(2008) Jörg Behler et al.   PHYSICAL REVIEW LETTERS