IOData

IOData provides parsing, storage, and conversion of file formats used in quantum chemistry, molecular dynamics, and plane-wave density-functional-theory (DFT) to enable interoperability between HORTON, ChemTools, and external molecular quantum chemistry and solid-state DFT packages.

Key Features:

• File Format Support: Parses, stores, and converts a wide range of file formats used by computational chemistry, molecular dynamics, and plane-wave DFT software.
• Input File Generation: Generates input files tailored to various quantum chemistry and solid-state DFT software packages.
• Interoperability: Facilitates data exchange between HORTON, ChemTools, and external molecular quantum chemistry and solid-state DFT packages.
• Extensibility: Provides an extensible Python-based framework that allows addition of new file formats and converters.
• Software Development Practices: Incorporates testing, continuous integration/delivery, and package management to support reliability and maintainability.

Scientific Applications:

• Data Management: Enables efficient file format conversion and input file generation to streamline management of computational chemistry and molecular dynamics data.
• Inter-software Workflows: Supports integration of data between quantum chemistry and solid-state DFT packages to facilitate cross-software workflows.
• Workflow Acceleration: Reduces manual data-preparation overhead by automating format conversions and input generation for computational experiments.

Methodology:

IOData employs a modular Python architecture that leverages Python libraries to provide scalable, extensible parsing, storage, and conversion of computational chemistry and molecular dynamics file formats.