General Simulation Parameters#
The following contains general options which specify the calculation to be done and general parameters which are shared between job types.
Jobs#
More details are in subsequent sections, but a brief overview of the jobs are as grouped below.
aKMC#
- Adaptive Kinetic Monte Carlo (aKMC)
uses saddle searches to find possible reactive events and KMC to determine the state-to-state kinetics.
Within such a job, we may also use
- Recycling
to use reactive events (processes) between states to speed up aKMC.
or construct a
- Kinetic database
of reactive events so they can be reused between AKMC runs.
Or even reach for
- Coarse Graining
to identify and escape groups of states connected by low barriers.
Dynamics#
Beyond this, we may also run
- Molecular dyanmics
which are standard.
We can make this a little more interesting with
- Hyperdynamics
which uses a bias potential to accelerate transitions between states.
Collective sampling#
- Parallel Replica Dynamics
which uses a set of trajectories to accelerate the rate of escape from states.
- Basin hopping
which lowers the barrier between states to accelerate Monte Carlo sampling.
PES traversal#
We can find minima on the potential energy surface using a
- Minimization
which optimizes the geometry of a structure.
We can go close to a minimum energy path with the
- Nudged elastic band
which locates minimum energy pathways using the eponymous method, essentially a chain-of-states search strategy
with this, we can then run a
- Saddle search job
to find a nearby saddle point.
and they may do so by using
- Dimer
method to find the lowest curvature mode.
or the
- Lanczos
method to find the lowest curvature mode.
Added in version 2.8: with acceleration provided by Gaussian Process Regression or neural networks.
Miscellaneous#
Finally we note the following overview of some other sections
- Main
which has options not specific to a single job type.
- Communicator
which detail methods by which the code can be run in parallel.
- Potential
which configures interatomic potentials, both bundled with
eOn
and interfaced- Optimizer
which has options related to the generic step interface for optimization of atomic structures
- Prefactor
which has options to control the calculation of harmonic transition state (hTST) prefactors
- Structure Comparison
which configures the computation of similarity measures and equivalence thresholds
- Paths
which enumerate directories in which calculations will be run
- Debug
which holds options for additional output
Configuration#
[Main]