Release 2024.3.14 contains multiple new features as well as some UX improvements. We highlight (1) the ability to import structural data in every format that is supported by the ASE python package including input files for Quantum ESRESSO, ABINIT, FHI-aims, CASTEP, CIS, CP2K, Gaussian, NWChem, and many more; (2) a command-line tutorial demonstrating how to calculate optical properties of materials using Quantum ESPRESSO SIMPLE.X code based on Prandini, et al. DOI:10.1016/j.cpc.2019.02.016; (3) the addition of several new materials to the standard set (Standata): high-k dielectrics like HfO2 and Y2O3, well-known 2D materials like Silicene and MoS2, conductive metals like Cu, Au, and commonly used substrates like SiO2 and SrTiO3.
Release 2024.3.14 contains multiple new features as well as some UX improvements. We highlight (1) the ability to import structural data in every format that is supported by the ASE python package including input files for Quantum ESRESSO, ABINIT, FHI-aims, CASTEP, CIS, CP2K, Gaussian, NWChem, and many more; (2) a command-line tutorial demonstrating how to calculate optical properties of materials using Quantum ESPRESSO SIMPLE.X code based on Prandini, et al. DOI:10.1016/j.cpc.2019.02.016; (3) the addition of several new materials to the standard set (Standata): high-k dielectrics like HfO2 and Y2O3, well-known 2D materials like Silicene and MoS2, conductive metals like Cu, Au, and commonly used substrates like SiO2 and SrTiO3.
We highlight the ability to Import from ALL formats supported by the ASE python package (XYZ, CIF, PDB, QE input, etc.). Below is a quick demonstration.
We highlight the ability to use command-line interface to run optical property calculations using the Quantum ESPRESSO SIMPLE code In the example below we show the workflow from the original publication source.
We highlight the addition of several new materials to the standard set (Standata): high-k dielectrics like HfO2 and Y2O3, well-known 2D materials like Silicene and MoS2, conductive metals like Cu, Au, and commonly used substrates like SiO2 and SrTiO3. We source the original structures from Materials Project (for 3D materials) and 2DMatpedia (for the monolayers).
Try the new functionality online at https://platform.mat3ra.com/