Paramus Inorganic Viewer
UI (Human) Applications MIT (Free)
About
Crystal structure visualization with ASE (.cif, .vasp). Render unit cells, supercells, and atomic structures for inorganic materials.
Key Features
- Supports .cif and .vasp inputs
- ASE-backed structure rendering
- Unit cell and supercell views
- File-handover via base64 content
- Read-only viewer
Frequently Asked Questions
What is Paramus Inorganic Viewer?
Paramus Inorganic Viewer is a ui (human) applications application available in the Paramus App Store. Crystal structure visualization with ASE (.cif, .vasp). Render unit cells, supercells, and atomic structures for inorganic materials.
Is Paramus Inorganic Viewer free to use?
Yes. Paramus Inorganic Viewer is distributed under the MIT (Free) license and is available at no cost through the Paramus App Store.
How do I install Paramus Inorganic Viewer?
Paramus Inorganic Viewer is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select Paramus Inorganic Viewer for one-click deployment.
What are the key features of Paramus Inorganic Viewer?
Key features of Paramus Inorganic Viewer include: Supports .cif and .vasp inputs; ASE-backed structure rendering; Unit cell and supercell views; File-handover via base64 content.
What type of application is Paramus Inorganic Viewer?
Paramus Inorganic Viewer belongs to the “UI (Human) Applications” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does Paramus Inorganic Viewer run on?
Paramus Inorganic Viewer runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can Paramus Inorganic Viewer be automated or integrated with AI workflows?
Yes. Paramus Inorganic Viewer is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.