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n2p2 - A neural network potential package
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This is the complete list of members for nnp::SetupAnalysis, including all inherited members.
| addEnergyOffset(Structure &structure, bool ref=true) | nnp::Mode | |
| calculateAtomicNeuralNetworks(Structure &structure, bool const derivatives, std::string id="") | nnp::Mode | |
| calculateCharge(Structure &structure) const | nnp::Mode | |
| calculateEnergy(Structure &structure) const | nnp::Mode | |
| calculateForces(Structure &structure) const | nnp::Mode | |
| calculateSymmetryFunctionGroups(Structure &structure, bool const derivatives) | nnp::Mode | |
| calculateSymmetryFunctions(Structure &structure, bool const derivatives) | nnp::Mode | |
| chargeEquilibration(Structure &structure, bool const derivativesElec) | nnp::Mode | |
| checkExtrapolationWarnings | nnp::Mode | protected |
| convCharge | nnp::Mode | protected |
| convEnergy | nnp::Mode | protected |
| convertToNormalizedUnits(Structure &structure) const | nnp::Mode | |
| convertToPhysicalUnits(Structure &structure) const | nnp::Mode | |
| convLength | nnp::Mode | protected |
| cutoffAlpha | nnp::Mode | protected |
| cutoffs | nnp::Mode | protected |
| cutoffType | nnp::Mode | protected |
| elementMap | nnp::Mode | |
| elements | nnp::Mode | protected |
| erfcBuf | nnp::Mode | protected |
| evaluateNNP(Structure &structure, bool useForces=true, bool useDEdG=true) | nnp::Mode | |
| ewaldSetup | nnp::Mode | protected |
| fourPiEps | nnp::Mode | protected |
| getConvCharge() const | nnp::Mode | inline |
| getConvEnergy() const | nnp::Mode | inline |
| getConvLength() const | nnp::Mode | inline |
| getEnergyOffset(Structure const &structure) const | nnp::Mode | |
| getEnergyWithOffset(Structure const &structure, bool ref=true) const | nnp::Mode | |
| getEwaldMaxCharge() const | nnp::Mode | inline |
| getEwaldMaxSigma() const | nnp::Mode | inline |
| getEwaldPrecision() const | nnp::Mode | inline |
| getEwaldTruncationMethod() const | nnp::Mode | inline |
| getMaxCutoffRadius() const | nnp::Mode | inline |
| getMeanEnergy() const | nnp::Mode | inline |
| getNnpType() const | nnp::Mode | inline |
| getNumElements() const | nnp::Mode | inline |
| getNumExtrapolationWarnings() const | nnp::Mode | |
| getNumSymmetryFunctions() const | nnp::Mode | |
| getScreeningFunction() const | nnp::Mode | |
| initialize() | nnp::Mode | |
| kspaceGrid | nnp::Mode | protected |
| kspaceSolver() const | nnp::Mode | inline |
| loadSettingsFile(std::string const &fileName="input.nn") | nnp::Mode | |
| log | nnp::Mode | |
| logEwaldCutoffs() | nnp::Mode | |
| maxCutoffRadius | nnp::Mode | protected |
| meanEnergy | nnp::Mode | protected |
| minCutoffRadius | nnp::Mode | protected |
| minNeighbors | nnp::Mode | protected |
| Mode() | nnp::Mode | |
| nnk | nnp::Mode | protected |
| NNPType enum name | nnp::Mode | |
| nnpType | nnp::Mode | protected |
| nns | nnp::Mode | protected |
| normalize | nnp::Mode | protected |
| normalized(std::string const &property, double value) const | nnp::Mode | |
| normalizedEnergy(Structure const &structure, bool ref=true) const | nnp::Mode | |
| numElements | nnp::Mode | protected |
| physical(std::string const &property, double value) const | nnp::Mode | |
| physicalEnergy(Structure const &structure, bool ref=true) const | nnp::Mode | |
| pruneSymmetryFunctionsRange(double threshold) | nnp::Mode | |
| pruneSymmetryFunctionsSensitivity(double threshold, std::vector< std::vector< double > > sensitivity) | nnp::Mode | |
| readNeuralNetworkWeights(std::string const &id, std::string const &fileName) | nnp::Mode | protected |
| removeEnergyOffset(Structure &structure, bool ref=true) | nnp::Mode | |
| resetExtrapolationWarnings() | nnp::Mode | |
| scalingType | nnp::Mode | protected |
| screeningFunction | nnp::Mode | protected |
| settings | nnp::Mode | protected |
| settingsGetValue(std::string const &keyword) const | nnp::Mode | |
| settingsKeywordExists(std::string const &keyword) const | nnp::Mode | |
| setupCutoff() | nnp::Mode | |
| setupCutoffMatrix() | nnp::Mode | |
| setupElectrostatics(bool initialHardness=false, std::string directoryPrefix="", std::string fileNameFormat="hardness.%03zu.data") | nnp::Mode | virtual |
| setupElementMap() | nnp::Mode | virtual |
| setupElements() | nnp::Mode | virtual |
| setupGeneric(std::string const &nnpDir="", bool skipNormalize=false, bool initialHardness=false) | nnp::Mode | |
| setupNeuralNetwork() | nnp::Mode | virtual |
| setupNeuralNetworkWeights(std::map< std::string, std::string > fileNameFormats=std::map< std::string, std::string >()) | nnp::Mode | virtual |
| setupNeuralNetworkWeights(std::string directoryPrefix, std::map< std::string, std::string > fileNameFormats=std::map< std::string, std::string >()) | nnp::Mode | virtual |
| setupNormalization(bool standalone=true) | nnp::Mode | |
| setupSymmetryFunctionCache(bool verbose=false) | nnp::Mode | virtual |
| setupSymmetryFunctionGroups() | nnp::Mode | virtual |
| setupSymmetryFunctionMemory(bool verbose=false) | nnp::Mode | |
| setupSymmetryFunctions() | nnp::Mode | virtual |
| setupSymmetryFunctionScaling(std::string const &fileName="scaling.data") | nnp::Mode | virtual |
| setupSymmetryFunctionScalingNone() | nnp::Mode | |
| setupSymmetryFunctionStatistics(bool collectStatistics, bool collectExtrapolationWarnings, bool writeExtrapolationWarnings, bool stopOnExtrapolationWarnings) | nnp::Mode | |
| useNormalization() const | nnp::Mode | inline |
| writePrunedSettingsFile(std::vector< std::size_t > prune, std::string fileName="output.nn") const | nnp::Mode | |
| writeSettingsFile(std::ofstream *const &file) const | nnp::Mode | |
| writeSymmetryFunctionShape(std::size_t numPoints, std::string const fileNameFormat="sf.%03zu.%04zu.out") | nnp::SetupAnalysis |