diff --git a/docs/pymatgen.alchemy.html b/docs/pymatgen.alchemy.html index fb6a10bb3a4..e5fc94d9b36 100644 --- a/docs/pymatgen.alchemy.html +++ b/docs/pymatgen.alchemy.html @@ -198,7 +198,7 @@
Bases: AbstractStructureFilter
This filter removes structures that are not charge balanced from the transmuter. This only works if the structure is oxidation state @@ -207,7 +207,7 @@
True if structure is neutral.
Bases: AbstractStructureFilter
This filter removes exact duplicate structures from the transmuter.
Remove duplicate structures based on the structure matcher @@ -278,7 +278,7 @@
structure (Structure) – Input structure to test.
@@ -296,7 +296,7 @@Bases: AbstractStructureFilter
This filter removes structures existing in a given list from the transmuter.
Remove existing structures based on the structure matcher @@ -315,13 +315,13 @@
Get MSONable dict.
True if structure is not in existing list.
Bases: AbstractStructureFilter
This filter removes structures that do have two particular species that are not nearest neighbors by a predefined max_dist. For instance, if you are @@ -391,7 +391,7 @@
True if structure contains the two species but their distance is greater than max_dist.
Bases: StandardTransmuter
Generate a Transmuter from a CIF string, possibly containing multiple structures.
Generate a Transmuter from a CIF string, possibly @@ -683,7 +683,7 @@
Generate a TransformedStructureCollection from a cif, possibly containing multiple structures.
Bases: StandardTransmuter
Generate a transmuter from a sequence of POSCARs.
Convenient constructor to generates a POSCAR transmuter from a list of POSCAR filenames.
Bases: object
An example of a Transmuter object, which performs a sequence of transformations on many structures to generate TransformedStructures.
@@ -774,7 +774,7 @@Add tags for the structures generated by the transmuter.
Overloaded to accept either a list of transformed structures or transmuter, it which case it appends the second transmuter’s structures.
Apply a structure_filter to the list of TransformedStructures in the transmuter.
Alternative constructor from structures rather than TransformedStructures.
Add parameters to the transmuter. Additional parameters are stored in the as_dict() output.
Batch write vasp input for a sequence of transformed structures to output_dir, following the format output_dir/{formula}_{number}.
Batch write vasp input for a sequence of transformed structures to output_dir, following the format output_dir/{group}/{formula}_{number}.
Bases: MSONable
Describe the connected components in a structure in terms of coordination environments.
Constructor for the ConnectedComponent object.
@@ -190,7 +190,7 @@Bson-serializable dict representation of the ConnectedComponent object.
algorithm (str) – Algorithm to use to compute the periodicity vectors. Can be @@ -215,19 +215,19 @@
Get the periodicity vectors of the connected component.
Compute periodicity vectors of the connected component.
Get the coordination sequence for a given node.
full (bool) – Whether to return a short or full description.
@@ -293,7 +293,7 @@start_node (Node, optional) – Node to start the elastic centering from. @@ -310,7 +310,7 @@
Reconstructs the ConnectedComponent object from a dict representation of the ConnectedComponent object created using the as_dict method.
Constructor for the ConnectedComponent object from a graph of the connected component.
multiplicity (int) – Multiplicity of the super graph.
@@ -410,7 +410,7 @@Displays the graph using the specified drawing type.
Make super graph from a graph of environments.
Bases: MSONable
, ABC
Base class to define a Chemenv strategy for the neighbors and coordination environment to be applied to a StructureEnvironments object.
@@ -593,7 +593,7 @@Bson-serializable dict representation of the SimplestChemenvStrategy object.
Get the equivalent site and corresponding symmetry+translation transformations.
Reconstructs the SimpleAbundanceChemenvStrategy object from a dict representation of the SimpleAbundanceChemenvStrategy object created using the as_dict method.
Applies the strategy to the structure_environments object in order to get coordination environments, their fraction, csm, geometry_info, and neighbors.
Applies the strategy to the structure_environments object in order to define the coordination environment of a given site.
Applies the strategy to the structure_environments object in order to define the coordination environment of a given site.
Applies the strategy to the structure_environments object in order to define the coordination environment of a given site.
Applies the strategy to the structure_environments object in order to get the neighbors of a given site.
Set up a given option for this strategy.
Set up options for this strategy based on a dict.
Bases: NbSetWeight
Weight of neighbors set based on the angle.
Initialize AngleNbSetWeight estimator.
@@ -863,7 +863,7 @@Sum of all angles in a neighbors set.
Sum of all angles to a given power in a neighbors set.
MSONable dict.
Construct AngleNbSetWeight from dict representation.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the angle.
Initialize AnglePlateauNbSetWeight.
@@ -946,13 +946,13 @@MSONable dict.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on specific biases towards specific coordination numbers.
Initialize CNBiasNbSetWeight.
@@ -1009,13 +1009,13 @@MSONable dict.
Initialize weights explicitly for each coordination.
Initialize weights from description.
Initialize from dict.
Initialize geometrically equidistant weights for each coordination.
weight_cn1: Weight of coordination 1. @@ -1073,7 +1073,7 @@
Initialize linearly equidistant weights for each coordination.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the differences of CSM.
Initialize DeltaCSMNbSetWeight.
@@ -1185,13 +1185,13 @@MSONable dict.
Initialize DeltaCSMNbSetWeight from specific coordination number differences.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the difference of distances.
Initialize DeltaDistanceNbSetWeight.
@@ -1268,13 +1268,13 @@MSONable dict.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the area in the distance-angle space.
Initialize CNBiasNbSetWeight.
@@ -1346,13 +1346,13 @@MSONable dict.
Initialize from dict.
Whether a given rectangle crosses the area defined by the upper and lower curves.
Get intersection of the neighbors set area with the surface.
Get intersection of the neighbors set area with the surface.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the distance.
Initialize DistanceNbSetWeight.
@@ -1498,13 +1498,13 @@MSOnable dict.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the distance.
Initialize DistancePlateauNbSetWeight.
@@ -1561,13 +1561,13 @@MSONable dict.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: WeightedNbSetChemenvStrategy
MultiWeightsChemenvStrategy.
Constructor for the MultiWeightsChemenvStrategy.
@@ -1627,7 +1627,7 @@Bson-serializable dict representation of the MultiWeightsChemenvStrategy object.
@@ -1637,7 +1637,7 @@Reconstructs the MultiWeightsChemenvStrategy object from a dict representation of the MultipleAbundanceChemenvStrategy object created using the as_dict method.
Initialize strategy used in the statistics article.
Bases: MSONable
, ABC
Abstract base class for neighbor set weight estimations.
A JSON-serializable dict representation of this neighbors set weight.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the normalized angle/distance.
Initialize NormalizedAngleDistanceNbSetWeight.
@@ -1721,7 +1721,7 @@Angle weight.
Angle/distance weight.
Angle/power distance weight.
Power angle weight.
Power angle/distance weight.
Power angle/power distance weight.
MSONable dict.
Standard mean of the weights.
Initialize from dict.
Geometric mean of the weights.
Inverse distance weight.
Inverse power distance weight.
Get the weight of a given neighbors set.
Bases: NbSetWeight
Weight of neighbors set based on the Self CSM.
Initialize SelfCSMNbSetWeight.
@@ -1940,13 +1940,13 @@MSONable dict.
Initialize from dict.
Get the weight of a given neighbors set.
Bases: AbstractChemenvStrategy
Simple ChemenvStrategy using the neighbors that are the most “abundant” in the grid of angle and distance parameters for the definition of neighbors in the Voronoi approach. @@ -2018,7 +2018,7 @@
Bson-serializable dict representation of the SimpleAbundanceChemenvStrategy object.
Reconstructs the SimpleAbundanceChemenvStrategy object from a dict representation of the SimpleAbundanceChemenvStrategy object created using the as_dict method.
Get the coordination environment of a given site.
Get the coordination environments of a given site.
Get the neighbors of a given site with this strategy.