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
eOnand 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]