Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces

Article Properties
Refrences
Title Journal Journal Categories Citations Publication Date
Interatomic Potentials from First-Principles Calculations: The Force-Matching Method Europhysics Letters
  • Science: Physics
  • Science: Physics
1,150 1994
10.1103/PhysRevB.41.7892
Neural network models of potential energy surfaces

The Journal of Chemical Physics
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Atomic physics. Constitution and properties of matter
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
323 1995
Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks Chemical Physics Letters
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Atomic physics. Constitution and properties of matter
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
288 2004
Effective force fields for condensed phase systems from ab initio molecular dynamics simulation: A new method for force-matching

The Journal of Chemical Physics
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Atomic physics. Constitution and properties of matter
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
347 2004